CINXE.COM

<!DOCTYPE html> <html lang="en" dir="ltr"> <head>  <script async src="https://www.googletagmanager.com/gtag/js?id=G-P63WKM1TM1"></script> <script> window.dataLayer = window.dataLayer || []; function gtag(){dataLayer.push(arguments);} gtag('js', new Date()); gtag('config', 'G-P63WKM1TM1'); </script>  <script type="text/javascript" > (function(m,e,t,r,i,k,a){m[i]=m[i]||function(){(m[i].a=m[i].a||[]).push(arguments)}; m[i].l=1*new Date(); for (var j = 0; j < document.scripts.length; j++) {if (document.scripts[j].src === r) { return; }} k=e.createElement(t),a=e.getElementsByTagName(t)[0],k.async=1,k.src=r,a.parentNode.insertBefore(k,a)}) (window, document, "script", "https://mc.yandex.ru/metrika/tag.js", "ym"); ym(55165297, "init", { clickmap:false, trackLinks:true, accurateTrackBounce:true, webvisor:false }); </script> <noscript><div><img src="https://mc.yandex.ru/watch/55165297" style="position:absolute; left:-9999px;" alt="" /></div></noscript>    <title>Search results for: hospital recommendation</title> <meta name="description" content="Search results for: hospital recommendation"> <meta name="keywords" content="hospital recommendation"> <meta name="viewport" content="width=device-width, initial-scale=1, minimum-scale=1, maximum-scale=1, user-scalable=no"> <meta charset="utf-8"> <link href="https://cdn.waset.org/favicon.ico" type="image/x-icon" rel="shortcut icon"> <link href="https://cdn.waset.org/static/plugins/bootstrap-4.2.1/css/bootstrap.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/plugins/fontawesome/css/all.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/css/site.css?v=150220211555" rel="stylesheet"> </head> <body> <header> <div class="container"> <nav class="navbar navbar-expand-lg navbar-light"> <a class="navbar-brand" href="https://waset.org"> <img src="https://cdn.waset.org/static/images/wasetc.png" alt="Open Science Research Excellence" title="Open Science Research Excellence" /> </a> <button class="d-block d-lg-none navbar-toggler ml-auto" type="button" data-toggle="collapse" data-target="#navbarMenu" aria-controls="navbarMenu" aria-expanded="false" aria-label="Toggle navigation"> <span class="navbar-toggler-icon"></span> </button> <div class="w-100"> <div class="d-none d-lg-flex flex-row-reverse"> <form method="get" action="https://waset.org/search" class="form-inline my-2 my-lg-0"> <input class="form-control mr-sm-2" type="search" placeholder="Search Conferences" value="hospital recommendation" name="q" aria-label="Search"> <button class="btn btn-light my-2 my-sm-0" type="submit"><i class="fas fa-search"></i></button> </form> </div> <div class="collapse navbar-collapse mt-1" id="navbarMenu"> <ul class="navbar-nav ml-auto align-items-center" id="mainNavMenu"> <li class="nav-item"> <a class="nav-link" href="https://waset.org/conferences" title="Conferences in 2024/2025/2026">Conferences</a> </li> <li class="nav-item"> <a class="nav-link" href="https://waset.org/disciplines" title="Disciplines">Disciplines</a> </li> <li class="nav-item"> <a class="nav-link" href="https://waset.org/committees" rel="nofollow">Committees</a> </li> <li class="nav-item dropdown"> <a class="nav-link dropdown-toggle" href="#" id="navbarDropdownPublications" role="button" data-toggle="dropdown" aria-haspopup="true" aria-expanded="false"> Publications </a> <div class="dropdown-menu" aria-labelledby="navbarDropdownPublications"> <a class="dropdown-item" href="https://publications.waset.org/abstracts">Abstracts</a> <a class="dropdown-item" href="https://publications.waset.org">Periodicals</a> <a class="dropdown-item" href="https://publications.waset.org/archive">Archive</a> </div> </li> <li class="nav-item"> <a class="nav-link" href="https://waset.org/page/support" title="Support">Support</a> </li> </ul> </div> </div> </nav> </div> </header> <main> <div class="container mt-4"> <div class="row"> <div class="col-md-9 mx-auto"> <form method="get" action="https://publications.waset.org/abstracts/search"> <div id="custom-search-input"> <div class="input-group"> <i class="fas fa-search"></i> <input type="text" class="search-query" name="q" placeholder="Author, Title, Abstract, Keywords" value="hospital recommendation"> <input type="submit" class="btn_search" value="Search"> </div> </div> </form> </div> </div> <div class="row mt-3"> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Commenced</strong> in January 2007</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Frequency:</strong> Monthly</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Edition:</strong> International</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Paper Count:</strong> 2697</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: hospital recommendation</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2697</span> The Effects of Source and Timing on the Acceptance of New Product Recommendation: A Lab Experiment</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Yani%20Shi">Yani Shi</a>, <a href="https://publications.waset.org/abstracts/search?q=Jiaqi%20Yan"> Jiaqi Yan</a> </p> <p class="card-text"><strong>Abstract:</strong></p> A new product is important for companies to extend consumers and manifest competitiveness. New product often involves new features that consumers might not be familiar with while it may also have a competitive advantage to attract consumers compared to established products. However, although most online retailers employ recommendation agents (RA) to influence consumers’ product choice decision, recommended new products are not accepted and chosen as expected. We argue that it might also be caused by providing a new product recommendation in the wrong way at the wrong time. This study seeks to discuss how new product evaluations sourced from third parties could be employed in RAs as evidence of the superiority for the new product and how the new product recommendation could be provided to a consumer at the right time so that it can be accepted and finally chosen during the consumer’s decision-making process. A 2*2 controlled laboratory experiment was conducted to understand the selection of new product recommendation sources and recommendation timing. Human subjects were randomly assigned to one of the four treatments to minimize the effects of individual differences on the results. Participants were told to make purchase choices from our product categories. We find that a new product recommended right after a similar existing product and with the source of the expert review will be more likely to be accepted. Based on this study, both theoretical and practical contributions are provided regarding new product recommendation. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=new%20product%20recommendation" title="new product recommendation">new product recommendation</a>, <a href="https://publications.waset.org/abstracts/search?q=recommendation%20timing" title=" recommendation timing"> recommendation timing</a>, <a href="https://publications.waset.org/abstracts/search?q=recommendation%20source" title=" recommendation source"> recommendation source</a>, <a href="https://publications.waset.org/abstracts/search?q=recommendation%20agents" title=" recommendation agents"> recommendation agents</a> </p> <a href="https://publications.waset.org/abstracts/96996/the-effects-of-source-and-timing-on-the-acceptance-of-new-product-recommendation-a-lab-experiment" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/96996.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">154</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2696</span> A Hybrid Recommendation System Based on Association Rules</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ahmed%20Mohammed%20Alsalama">Ahmed Mohammed Alsalama</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Recommendation systems are widely used in e-commerce applications. The engine of a current recommendation system recommends items to a particular user based on user preferences and previous high ratings. Various recommendation schemes such as collaborative filtering and content-based approaches are used to build a recommendation system. Most of the current recommendation systems were developed to fit a certain domain such as books, articles, and movies. We propose a hybrid framework recommendation system to be applied on two-dimensional spaces (User x Item) with a large number of Users and a small number of Items. Moreover, our proposed framework makes use of both favorite and non-favorite items of a particular user. The proposed framework is built upon the integration of association rules mining and the content-based approach. The results of experiments show that our proposed framework can provide accurate recommendations to users. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=data%20mining" title="data mining">data mining</a>, <a href="https://publications.waset.org/abstracts/search?q=association%20rules" title=" association rules"> association rules</a>, <a href="https://publications.waset.org/abstracts/search?q=recommendation%20systems" title=" recommendation systems"> recommendation systems</a>, <a href="https://publications.waset.org/abstracts/search?q=hybrid%20systems" title=" hybrid systems"> hybrid systems</a> </p> <a href="https://publications.waset.org/abstracts/15279/a-hybrid-recommendation-system-based-on-association-rules" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/15279.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">453</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2695</span> Exploring Factors Influencing Orthopedic Patients' Willingness to Recommend a Hospital: Insights from a Cross-Sectional Survey</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Merav%20Ben%20Natan">Merav Ben Natan</a>, <a href="https://publications.waset.org/abstracts/search?q=David%20Maman"> David Maman</a>, <a href="https://publications.waset.org/abstracts/search?q=Milana%20Avramov"> Milana Avramov</a>, <a href="https://publications.waset.org/abstracts/search?q=Galina%20Shamilov"> Galina Shamilov</a>, <a href="https://publications.waset.org/abstracts/search?q=Yaron%20Berkovich"> Yaron Berkovich</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Introduction: Patient satisfaction and the willingness to recommend a hospital are vital for improving healthcare quality. This study examines orthopedic patients to identify factors influencing their willingness to recommend the hospital. Aim: This study to explore the demographic and clinical variables affecting orthopedic patients' willingness to recommend the hospital and to understand the role of patient satisfaction in this context. Methods: A cross-sectional survey was conducted with 200 orthopedic patients hospitalized between July and December 2023 in north-central Israel. Data were analyzed to assess the impact of various factors on the willingness to recommend the hospital. Results: Age was positively associated with the willingness to recommend (OR=2.44), while the length of stay in the Emergency Department negatively impacted this willingness (OR=0.58). Satisfaction with hospital care had a positive effect on willingness to recommend (OR=1.96). Gender, comorbidities, and total hospital stay length did not significantly influence willingness to recommend. Conclusions: Satisfaction with hospital care and the length of Emergency Department stays are crucial factors affecting orthopedic patients' willingness to recommend the hospital. This underscores the need for strategies to improve patient experiences and address delays in the Emergency Department. The findings offer valuable insights for healthcare providers and policymakers. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=orthopedic%20patients" title="orthopedic patients">orthopedic patients</a>, <a href="https://publications.waset.org/abstracts/search?q=patient%20satisfaction" title=" patient satisfaction"> patient satisfaction</a>, <a href="https://publications.waset.org/abstracts/search?q=willingness%20to%20recommend" title=" willingness to recommend"> willingness to recommend</a>, <a href="https://publications.waset.org/abstracts/search?q=hospital%20recommendation" title=" hospital recommendation"> hospital recommendation</a> </p> <a href="https://publications.waset.org/abstracts/189294/exploring-factors-influencing-orthopedic-patients-willingness-to-recommend-a-hospital-insights-from-a-cross-sectional-survey" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/189294.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">30</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2694</span> Societal Impacts of Algorithmic Recommendation System: Economy, International Relations, Political Ideologies, and Education</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Maggie%20Shen">Maggie Shen</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Ever since the late 20th century, business giants have been competing to provide better experiences for their users. One way they strive to do so is through more efficiently connecting users with their goals, with recommendation systems that filter out unnecessary or less relevant information. Today’s top online platforms such as Amazon, Netflix, Airbnb, Tiktok, Facebook, and Google all utilize algorithmic recommender systems for different purposes—Product recommendation, movie recommendation, travel recommendation, relationship recommendation, etc. However, while bringing unprecedented convenience and efficiency, the prevalence of algorithmic recommendation systems also influences society in many ways. In using a variety of primary, secondary, and social media sources, this paper explores the impacts of algorithms, particularly algorithmic recommender systems, on different sectors of society. Four fields of interest will be specifically addressed in this paper: economy, international relations, political ideologies, and education. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=algorithms" title="algorithms">algorithms</a>, <a href="https://publications.waset.org/abstracts/search?q=economy" title=" economy"> economy</a>, <a href="https://publications.waset.org/abstracts/search?q=international%20relations" title=" international relations"> international relations</a>, <a href="https://publications.waset.org/abstracts/search?q=political%20ideologies" title=" political ideologies"> political ideologies</a>, <a href="https://publications.waset.org/abstracts/search?q=education" title=" education"> education</a> </p> <a href="https://publications.waset.org/abstracts/143723/societal-impacts-of-algorithmic-recommendation-system-economy-international-relations-political-ideologies-and-education" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/143723.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">199</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2693</span> Combination Urea and KCl with Powder Coal Sub-Bituminous to Increase Nutrient Content of Ultisols in Limau Manis Padang West Sumatra</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Amsar%20Maulana">Amsar Maulana</a>, <a href="https://publications.waset.org/abstracts/search?q=Rafdea%20Syafitri"> Rafdea Syafitri</a>, <a href="https://publications.waset.org/abstracts/search?q=Topanal%20%20Gustiranda"> Topanal Gustiranda</a>, <a href="https://publications.waset.org/abstracts/search?q=Natasya%20Permatasari"> Natasya Permatasari</a>, <a href="https://publications.waset.org/abstracts/search?q=Herviyanti"> Herviyanti</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Coal as an alternative source of humic material that has the potential of 973.92 million tons (sub-bituminous amounted to 673.70 million tons) in West Sumatera. The purpose of this research was to study combination Urea and KCl with powder coal Sub-bituminous to increase nutrient content of Ultisols In Limau Manis Padang West Sumatera. The experiment was designed in Completely Randomized Design with 3 replications, those were T1) 0.5% (50g plot-1) of powder coal Sub-bituminous; T2) T1 and 125% (7.03g plot-1 ) of Urea recommendation; T3) T1 and 125% (5.85g plot-1) of KCl recommendation; T4) 1.0% (100g plot-1) of powder coal Sub-bituminous; T5) T4 and 125% (7.03g plot-1 ) of Urea recommendation; T6) T4 and 125% (5.85g plot-1) of KCl recommendation; T7) 1.5% (150g plot-1) of powder coal Sub-bituminous; T8) T7 and 125% (7.03g plot-1 ) of Urea recommendation; T9) T7 and 125% (5.85g plot-1) of KCl recommendation. The results showed that application 1.5% of powder coal Sub-bituminous and 125% of Urea recommendation could increase nutrient content of Ultisols such as pH by 0.33 unit, Organic – C by 2.03%, total – N by 0.31%, Available P by 14.16 ppm and CEC by 19.38 me 100g-1 after 2 weeks of incubation process. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=KCl" title="KCl">KCl</a>, <a href="https://publications.waset.org/abstracts/search?q=sub-bituminous" title=" sub-bituminous"> sub-bituminous</a>, <a href="https://publications.waset.org/abstracts/search?q=ultisols" title=" ultisols"> ultisols</a>, <a href="https://publications.waset.org/abstracts/search?q=urea" title=" urea"> urea</a> </p> <a href="https://publications.waset.org/abstracts/67115/combination-urea-and-kcl-with-powder-coal-sub-bituminous-to-increase-nutrient-content-of-ultisols-in-limau-manis-padang-west-sumatra" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/67115.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">264</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2692</span> State of the Art on the Recommendation Techniques of Mobile Learning Activities</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Nassim%20Dennouni">Nassim Dennouni</a>, <a href="https://publications.waset.org/abstracts/search?q=Yvan%20Peter"> Yvan Peter</a>, <a href="https://publications.waset.org/abstracts/search?q=Luigi%20Lancieri"> Luigi Lancieri</a>, <a href="https://publications.waset.org/abstracts/search?q=Zohra%20Slama"> Zohra Slama</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The objective of this article is to make a bibliographic study on the recommendation of mobile learning activities that are used as part of the field trip scenarios. Indeed, the recommendation systems are widely used in the context of mobility because they can be used to provide learning activities. These systems should take into account the history of visits and teacher pedagogy to provide adaptive learning according to the instantaneous position of the learner. To achieve this objective, we review the existing literature on field trip scenarios to recommend mobile learning activities. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=mobile%20learning" title="mobile learning">mobile learning</a>, <a href="https://publications.waset.org/abstracts/search?q=field%20trip" title=" field trip"> field trip</a>, <a href="https://publications.waset.org/abstracts/search?q=mobile%20learning%20activities" title=" mobile learning activities"> mobile learning activities</a>, <a href="https://publications.waset.org/abstracts/search?q=collaborative%20filtering" title=" collaborative filtering"> collaborative filtering</a>, <a href="https://publications.waset.org/abstracts/search?q=recommendation%20system" title=" recommendation system"> recommendation system</a>, <a href="https://publications.waset.org/abstracts/search?q=point%20of%20interest" title=" point of interest"> point of interest</a>, <a href="https://publications.waset.org/abstracts/search?q=ACO%20algorithm" title=" ACO algorithm"> ACO algorithm</a> </p> <a href="https://publications.waset.org/abstracts/48290/state-of-the-art-on-the-recommendation-techniques-of-mobile-learning-activities" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/48290.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">446</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2691</span> User Intention Generation with Large Language Models Using Chain-of-Thought Prompting Title</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Gangmin%20Li">Gangmin Li</a>, <a href="https://publications.waset.org/abstracts/search?q=Fan%20Yang"> Fan Yang</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Personalized recommendation is crucial for any recommendation system. One of the techniques for personalized recommendation is to identify the intention. Traditional user intention identification uses the user’s selection when facing multiple items. This modeling relies primarily on historical behaviour data resulting in challenges such as the cold start, unintended choice, and failure to capture intention when items are new. Motivated by recent advancements in Large Language Models (LLMs) like ChatGPT, we present an approach for user intention identification by embracing LLMs with Chain-of-Thought (CoT) prompting. We use the initial user profile as input to LLMs and design a collection of prompts to align the LLM's response through various recommendation tasks encompassing rating prediction, search and browse history, user clarification, etc. Our tests on real-world datasets demonstrate the improvements in recommendation by explicit user intention identification and, with that intention, merged into a user model. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=personalized%20recommendation" title="personalized recommendation">personalized recommendation</a>, <a href="https://publications.waset.org/abstracts/search?q=generative%20user%20modelling" title=" generative user modelling"> generative user modelling</a>, <a href="https://publications.waset.org/abstracts/search?q=user%20intention%20identification" title=" user intention identification"> user intention identification</a>, <a href="https://publications.waset.org/abstracts/search?q=large%20language%20models" title=" large language models"> large language models</a>, <a href="https://publications.waset.org/abstracts/search?q=chain-of-thought%20prompting" title=" chain-of-thought prompting"> chain-of-thought prompting</a> </p> <a href="https://publications.waset.org/abstracts/185916/user-intention-generation-with-large-language-models-using-chain-of-thought-prompting-title" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/185916.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">53</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2690</span> Context-Aware Point-Of-Interests Recommender Systems Using Integrated Sentiment and Network Analysis</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ho%20Yeon%20Park">Ho Yeon Park</a>, <a href="https://publications.waset.org/abstracts/search?q=Kyoung-Jae%20Kim"> Kyoung-Jae Kim</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Recently, user’s interests for location-based social network service increases according to the advances of social web and location-based technologies. It may be easy to recommend preferred items if we can use user’s preference, context and social network information simultaneously. In this study, we propose context-aware POI (point-of-interests) recommender systems using location-based network analysis and sentiment analysis which consider context, social network information and implicit user’s preference score. We propose a context-aware POI recommendation system consisting of three sub-modules and an integrated recommendation system of them. First, we will develop a recommendation module based on network analysis. This module combines social network analysis and cluster-indexing collaboration filtering. Next, this study develops a recommendation module using social singular value decomposition (SVD) and implicit SVD. In this research, we will develop a recommendation module that can recommend preference scores based on the frequency of POI visits of user in POI recommendation process by using social and implicit SVD which can reflect implicit feedback in collaborative filtering. We also develop a recommendation module using them that can estimate preference scores based on the recommendation. Finally, this study will propose a recommendation module using opinion mining and emotional analysis using data such as reviews of POIs extracted from location-based social networks. Finally, we will develop an integration algorithm that combines the results of the three recommendation modules proposed in this research. Experimental results show the usefulness of the proposed model in relation to the recommended performance. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=sentiment%20analysis" title="sentiment analysis">sentiment analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=network%20analysis" title=" network analysis"> network analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=recommender%20systems" title=" recommender systems"> recommender systems</a>, <a href="https://publications.waset.org/abstracts/search?q=point-of-interests" title=" point-of-interests"> point-of-interests</a>, <a href="https://publications.waset.org/abstracts/search?q=business%20analytics" title=" business analytics"> business analytics</a> </p> <a href="https://publications.waset.org/abstracts/72619/context-aware-point-of-interests-recommender-systems-using-integrated-sentiment-and-network-analysis" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/72619.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">250</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2689</span> Strategies for Patient Families Integration in Caregiving: A Consensus Opinion</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ibrahim%20A.%20Alkali">Ibrahim A. Alkali</a> </p> <p class="card-text"><strong>Abstract:</strong></p> There is no reservation on the outstanding contribution of patient families in restoration of hospitalised patients, hence their consideration as essential component of hospital ward regimen. The psychological and emotional support a patient requires has been found to be solely provided by the patient’s family. However, consideration of their presence as one of the major functional requirements of an inpatient setting design have always been a source of disquiet, especially in developing countries where policies, norms and protocols of healthcare administration have no consideration for the patients’ family. This have been a major challenge to the hospital ward facilities, a concern for the hospital administration and patient management. The study therefore is aimed at obtaining a consensus opinion on the best approach for family integration in the design of an inpatient setting.  A one day visioning charrette involving Architects, Nurses, Medical Doctors, Healthcare assistants and representatives from the Patient families was conducted with the aim of arriving at a consensus opinion on practical design approach for sustainable family integration. Patient’s family are found to be decisive character of hospital ward regimen that cannot be undermined. However, several challenges that impede family integration were identified and subsequently a recommendation for an ideal approach. This will serve as a guide to both architects and hospital management in implementing much desired Patient and Family Centred Care. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=patient%27s%20family" title="patient's family">patient's family</a>, <a href="https://publications.waset.org/abstracts/search?q=inpatient%20setting" title=" inpatient setting"> inpatient setting</a>, <a href="https://publications.waset.org/abstracts/search?q=care%20giving" title=" care giving"> care giving</a>, <a href="https://publications.waset.org/abstracts/search?q=integration" title=" integration"> integration</a> </p> <a href="https://publications.waset.org/abstracts/83965/strategies-for-patient-families-integration-in-caregiving-a-consensus-opinion" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/83965.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">208</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2688</span> Humanising Hospital Retrofitting: The Case Study of Malaysia Public Hospitals</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Nur%20Faridatull%20Syafinaz%20Ahmad%20Tajudin">Nur Faridatull Syafinaz Ahmad Tajudin</a> </p> <p class="card-text"><strong>Abstract:</strong></p> A hospital is a setting where individuals who are ill or injured are treated and cared for by doctors and nurses. Sanatoriums are settings where people can receive treatment and rest, particularly when recovering from a protracted illness. According to the report, hospitals are primarily designed to meet the needs of medical personnel by maximising their functionality and workflow. Hospitals frequently do a poor job of determining the patients' physical and emotional requirements and expectations. The literature on hospital design has recently focused more on the seeming need to "humanise" medical facilities. Despite the popularity of this design objective, "humanising" a space has hardly ever been defined or critically examined. The term "humanistic design" covered a broad range of design elements and designer interpretations. In reality, the hospital's layout and design the hospital may have a massive effect on patients' feel experience things and heal. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=hospital%20retrofitting" title="hospital retrofitting">hospital retrofitting</a>, <a href="https://publications.waset.org/abstracts/search?q=hospital%20design" title=" hospital design"> hospital design</a>, <a href="https://publications.waset.org/abstracts/search?q=humanising%20hospital" title=" humanising hospital"> humanising hospital</a>, <a href="https://publications.waset.org/abstracts/search?q=spatial%20design" title=" spatial design"> spatial design</a> </p> <a href="https://publications.waset.org/abstracts/157799/humanising-hospital-retrofitting-the-case-study-of-malaysia-public-hospitals" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/157799.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">120</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2687</span> Improving Pediatric Patient Experience</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Matthew%20Pleshaw">Matthew Pleshaw</a>, <a href="https://publications.waset.org/abstracts/search?q=Caroline%20Lynch"> Caroline Lynch</a>, <a href="https://publications.waset.org/abstracts/search?q=Caleb%20%20Eaton"> Caleb Eaton</a>, <a href="https://publications.waset.org/abstracts/search?q=Ali%20Kiapour"> Ali Kiapour</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The problem addressed in this proposal is that of the lacking comfort and safety of inpatient rooms, specifically at Boston Children’s Hospital, with the implementation of a system that will allow inpatient children to feel more comfortable in the unfamiliar environment of a hospital. The focus is that of advancing and enhancing the healing process for children in a long-term inpatient stay at the hospital, though a combination of announcing a clinician or hospital staff’s arrival utilizing RFID (Fig. 1), and improving communication between clinicians, parents/guardians, patients, etc. by integrating a mobile application. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Pediatrics" title="Pediatrics">Pediatrics</a>, <a href="https://publications.waset.org/abstracts/search?q=Hospital" title=" Hospital"> Hospital</a>, <a href="https://publications.waset.org/abstracts/search?q=RFID" title=" RFID"> RFID</a>, <a href="https://publications.waset.org/abstracts/search?q=Technology" title=" Technology"> Technology</a> </p> <a href="https://publications.waset.org/abstracts/128001/improving-pediatric-patient-experience" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/128001.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">158</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2686</span> Multi-Stream Graph Attention Network for Recommendation with Knowledge Graph</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Zhifei%20Hu">Zhifei Hu</a>, <a href="https://publications.waset.org/abstracts/search?q=Feng%20Xia"> Feng Xia</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In recent years, Graph neural network has been widely used in knowledge graph recommendation. The existing recommendation methods based on graph neural network extract information from knowledge graph through entity and relation, which may not be efficient in the way of information extraction. In order to better propose useful entity information for the current recommendation task in the knowledge graph, we propose an end-to-end Neural network Model based on multi-stream graph attentional Mechanism (MSGAT), which can effectively integrate the knowledge graph into the recommendation system by evaluating the importance of entities from both users and items. Specifically, we use the attention mechanism from the user's perspective to distil the domain nodes information of the predicted item in the knowledge graph, to enhance the user's information on items, and generate the feature representation of the predicted item. Due to user history, click items can reflect the user's interest distribution, we propose a multi-stream attention mechanism, based on the user's preference for entities and relationships, and the similarity between items to be predicted and entities, aggregate user history click item's neighborhood entity information in the knowledge graph and generate the user's feature representation. We evaluate our model on three real recommendation datasets: Movielens-1M (ML-1M), LFM-1B 2015 (LFM-1B), and Amazon-Book (AZ-book). Experimental results show that compared with the most advanced models, our proposed model can better capture the entity information in the knowledge graph, which proves the validity and accuracy of the model. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=graph%20attention%20network" title="graph attention network">graph attention network</a>, <a href="https://publications.waset.org/abstracts/search?q=knowledge%20graph" title=" knowledge graph"> knowledge graph</a>, <a href="https://publications.waset.org/abstracts/search?q=recommendation" title=" recommendation"> recommendation</a>, <a href="https://publications.waset.org/abstracts/search?q=information%20propagation" title=" information propagation"> information propagation</a> </p> <a href="https://publications.waset.org/abstracts/150710/multi-stream-graph-attention-network-for-recommendation-with-knowledge-graph" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/150710.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">116</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2685</span> Best Resource Recommendation for a Stochastic Process</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Likewin%20Thomas">Likewin Thomas</a>, <a href="https://publications.waset.org/abstracts/search?q=M.%20V.%20Manoj%20Kumar"> M. V. Manoj Kumar</a>, <a href="https://publications.waset.org/abstracts/search?q=B.%20Annappa"> B. Annappa</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The aim of this study was to develop an Artificial Neural Network0 s recommendation model for an online process using the complexity of load, performance, and average servicing time of the resources. Here, the proposed model investigates the resource performance using stochastic gradient decent method for learning ranking function. A probabilistic cost function is implemented to identify the optimal θ values (load) on each resource. Based on this result the recommendation of resource suitable for performing the currently executing task is made. The test result of CoSeLoG project is presented with an accuracy of 72.856%. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=ADALINE" title="ADALINE">ADALINE</a>, <a href="https://publications.waset.org/abstracts/search?q=neural%20network" title=" neural network"> neural network</a>, <a href="https://publications.waset.org/abstracts/search?q=gradient%20decent" title=" gradient decent"> gradient decent</a>, <a href="https://publications.waset.org/abstracts/search?q=process%20mining" title=" process mining"> process mining</a>, <a href="https://publications.waset.org/abstracts/search?q=resource%20behaviour" title=" resource behaviour"> resource behaviour</a>, <a href="https://publications.waset.org/abstracts/search?q=polynomial%20regression%20model" title=" polynomial regression model"> polynomial regression model</a> </p> <a href="https://publications.waset.org/abstracts/45008/best-resource-recommendation-for-a-stochastic-process" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/45008.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">390</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2684</span> Recommendation Systems for Cereal Cultivation using Advanced Casual Inference Modeling</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Md%20Yeasin">Md Yeasin</a>, <a href="https://publications.waset.org/abstracts/search?q=Ranjit%20Kumar%20Paul"> Ranjit Kumar Paul</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In recent years, recommendation systems have become indispensable tools for agricultural system. The accurate and timely recommendations can significantly impact crop yield and overall productivity. Causal inference modeling aims to establish cause-and-effect relationships by identifying the impact of variables or factors on outcomes, enabling more accurate and reliable recommendations. New advancements in causal inference models have been found in the literature. With the advent of the modern era, deep learning and machine learning models have emerged as efficient tools for modeling. This study proposed an innovative approach to enhance recommendation systems-based machine learning based casual inference model. By considering the causal effect and opportunity cost of covariates, the proposed system can provide more reliable and actionable recommendations for cereal farmers. To validate the effectiveness of the proposed approach, experiments are conducted using cereal cultivation data of eastern India. Comparative evaluations are performed against existing correlation-based recommendation systems, demonstrating the superiority of the advanced causal inference modeling approach in terms of recommendation accuracy and impact on crop yield. Overall, it empowers farmers with personalized recommendations tailored to their specific circumstances, leading to optimized decision-making and increased crop productivity. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=agriculture" title="agriculture">agriculture</a>, <a href="https://publications.waset.org/abstracts/search?q=casual%20inference" title=" casual inference"> casual inference</a>, <a href="https://publications.waset.org/abstracts/search?q=machine%20learning" title=" machine learning"> machine learning</a>, <a href="https://publications.waset.org/abstracts/search?q=recommendation%20system" title=" recommendation system"> recommendation system</a> </p> <a href="https://publications.waset.org/abstracts/169691/recommendation-systems-for-cereal-cultivation-using-advanced-casual-inference-modeling" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/169691.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">79</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2683</span> Efficient Recommendation System for Frequent and High Utility Itemsets over Incremental Datasets</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=J.%20K.%20Kavitha">J. K. Kavitha</a>, <a href="https://publications.waset.org/abstracts/search?q=D.%20Manjula"> D. Manjula</a>, <a href="https://publications.waset.org/abstracts/search?q=U.%20Kanimozhi"> U. Kanimozhi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Mining frequent and high utility item sets have gained much significance in the recent years. When the data arrives sporadically, incremental and interactive rule mining and utility mining approaches can be adopted to handle user’s dynamic environmental needs and avoid redundancies, using previous data structures, and mining results. The dependence on recommendation systems has exponentially risen since the advent of search engines. This paper proposes a model for building a recommendation system that suggests frequent and high utility item sets over dynamic datasets for a cluster based location prediction strategy to predict user’s trajectories using the Efficient Incremental Rule Mining (EIRM) algorithm and the Fast Update Utility Pattern Tree (FUUP) algorithm. Through comprehensive evaluations by experiments, this scheme has shown to deliver excellent performance. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=data%20sets" title="data sets">data sets</a>, <a href="https://publications.waset.org/abstracts/search?q=recommendation%20system" title=" recommendation system"> recommendation system</a>, <a href="https://publications.waset.org/abstracts/search?q=utility%20item%20sets" title=" utility item sets"> utility item sets</a>, <a href="https://publications.waset.org/abstracts/search?q=frequent%20item%20sets%20mining" title=" frequent item sets mining"> frequent item sets mining</a> </p> <a href="https://publications.waset.org/abstracts/47560/efficient-recommendation-system-for-frequent-and-high-utility-itemsets-over-incremental-datasets" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/47560.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">293</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2682</span> E-Learning Recommender System Based on Collaborative Filtering and Ontology</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=John%20Tarus">John Tarus</a>, <a href="https://publications.waset.org/abstracts/search?q=Zhendong%20Niu"> Zhendong Niu</a>, <a href="https://publications.waset.org/abstracts/search?q=Bakhti%20Khadidja"> Bakhti Khadidja</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In recent years, e-learning recommender systems has attracted great attention as a solution towards addressing the problem of information overload in e-learning environments and providing relevant recommendations to online learners. E-learning recommenders continue to play an increasing educational role in aiding learners to find appropriate learning materials to support the achievement of their learning goals. Although general recommender systems have recorded significant success in solving the problem of information overload in e-commerce domains and providing accurate recommendations, e-learning recommender systems on the other hand still face some issues arising from differences in learner characteristics such as learning style, skill level and study level. Conventional recommendation techniques such as collaborative filtering and content-based deal with only two types of entities namely users and items with their ratings. These conventional recommender systems do not take into account the learner characteristics in their recommendation process. Therefore, conventional recommendation techniques cannot make accurate and personalized recommendations in e-learning environment. In this paper, we propose a recommendation technique combining collaborative filtering and ontology to recommend personalized learning materials to online learners. Ontology is used to incorporate the learner characteristics into the recommendation process alongside the ratings while collaborate filtering predicts ratings and generate recommendations. Furthermore, ontological knowledge is used by the recommender system at the initial stages in the absence of ratings to alleviate the cold-start problem. Evaluation results show that our proposed recommendation technique outperforms collaborative filtering on its own in terms of personalization and recommendation accuracy. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=collaborative%20filtering" title="collaborative filtering">collaborative filtering</a>, <a href="https://publications.waset.org/abstracts/search?q=e-learning" title=" e-learning"> e-learning</a>, <a href="https://publications.waset.org/abstracts/search?q=ontology" title=" ontology"> ontology</a>, <a href="https://publications.waset.org/abstracts/search?q=recommender%20system" title=" recommender system"> recommender system</a> </p> <a href="https://publications.waset.org/abstracts/64364/e-learning-recommender-system-based-on-collaborative-filtering-and-ontology" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/64364.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">379</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2681</span> Operation and Management System of New Ahmadi Hospital Facility</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Abdulrahman%20H.%20Alrashidi">Abdulrahman H. Alrashidi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Kuwait Oil Company provides health care services through Ahmadi hospital for oil sector employee and their families. Due to increasing number of entitled patients in Ahmadi hospital, the company starts health insurance option in 2010. In addition, a new Ahmadi hospital decided to build to accumulate all entitled patients. Operation and management of new Ahmadi hospital investigated in this research. In order to maintain the high quality of medical services and satisfaction rate among oil sector community and reducing the operation cost. Six operation and management options evaluated in order to implement in new Ahmadi hospital. Qualitative Risk assessment method used to investigate proposed options for operation and management of new Ahmadi hospital. Evaluation criteria consist of quality of medical services, operation cost and satisfaction rate among oil sector community. Results show that using the same operation and management system in existing Ahmadi hospital with new Ahmadi hospital will bring cost higher. This approach brings risk to KOC. Results from risk assessment show that partially operated new Ahmadi hospital is the best opportunity to meet the objectives of KOC’s medical group. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Kuwait%20Oil%20Company" title="Kuwait Oil Company">Kuwait Oil Company</a>, <a href="https://publications.waset.org/abstracts/search?q=new%20Ahmadi%20hospital" title=" new Ahmadi hospital"> new Ahmadi hospital</a>, <a href="https://publications.waset.org/abstracts/search?q=operation%20and%20management" title=" operation and management"> operation and management</a>, <a href="https://publications.waset.org/abstracts/search?q=risk%20assessment" title=" risk assessment"> risk assessment</a> </p> <a href="https://publications.waset.org/abstracts/42847/operation-and-management-system-of-new-ahmadi-hospital-facility" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/42847.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">360</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2680</span> Predicting Shortage of Hospital Beds during COVID-19 Pandemic in United States</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Saba%20Ebrahimi">Saba Ebrahimi</a>, <a href="https://publications.waset.org/abstracts/search?q=Saeed%20Ahmadian"> Saeed Ahmadian</a>, <a href="https://publications.waset.org/abstracts/search?q=Hedie%20Ashrafi"> Hedie Ashrafi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> World-wide spread of coronavirus grows the concern about planning for the excess demand of hospital services in response to COVID-19 pandemic. The surge in the hospital services demand beyond the current capacity leads to shortage of ICU beds and ventilators in some parts of US. In this study, we forecast the required number of hospital beds and possible shortage of beds in US during COVID-19 pandemic to be used in the planning and hospitalization of new cases. In this paper, we used a data on COVID-19 deaths and patients’ hospitalization besides the data on hospital capacities and utilization in US from publicly available sources and national government websites. we used a novel ensemble modelling of deep learning networks, based on stacking different linear and non-linear layers to predict the shortage in hospital beds. The results showed that our proposed approach can predict the excess hospital beds demand very well and this can be helpful in developing strategies and plans to mitigate this gap. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=COVID-19" title="COVID-19">COVID-19</a>, <a href="https://publications.waset.org/abstracts/search?q=deep%20learning" title=" deep learning"> deep learning</a>, <a href="https://publications.waset.org/abstracts/search?q=ensembled%20models" title=" ensembled models"> ensembled models</a>, <a href="https://publications.waset.org/abstracts/search?q=hospital%20capacity%20planning" title=" hospital capacity planning "> hospital capacity planning </a> </p> <a href="https://publications.waset.org/abstracts/128398/predicting-shortage-of-hospital-beds-during-covid-19-pandemic-in-united-states" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/128398.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">156</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2679</span> Post-Discharge Oral Nutritional Supplements Following Gastric Cancer Surgery: A systematic Review</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mohammad%20Mohammadi">Mohammad Mohammadi</a>, <a href="https://publications.waset.org/abstracts/search?q=Mohammad%20Pashmchi"> Mohammad Pashmchi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Background: Malnutrition commonly develops and worsens following gastric cancer surgery, particularly after discharge, which is associated with adverse outcomes. Former studies have primarily focused on patients during their hospital stay period, and there is limited evidence regarding the recommendation of nutritional interventions for patients after discharge from the hospital following gastric cancer surgery. This review is aimed to evaluate the efficiency of post-discharge dietary counseling with oral nutritional supplements (ONS), and dietary counseling alone on post-surgical nutritional outcomes in patients undergoing gastric cancer surgery. Methods: The four databases of Embase, PubMed, web of science, and google scholar were searched up to November 2022 for relevant randomized controlled trials. The Cochrane Collaboration’s assessment tool for randomized trials was used to evaluate the quality of studies. Results: Compared to patients who only received dietary counseling, patients who received both dietary counseling and ONS had considerably higher SMI, BMI, and less weight loss and sarcopenia occurrence rate. The patients who had received dietary counseling and ONS had significantly lower risk of chemotherapy intolerance. No differences in the readmission rate between the two groups was found. In terms of the quality of life, concomitant dietary advice and ONS significantly was associated with lower appetite loss and fatigue rate, but there was no difference in the other outcomes between the two groups. Conclusions: Post-discharge dietary advice with ONS following gastric cancer surgery may improve skeletal muscle maintenance, nutritional outcomes, quality of life variables, and chemotherapy tolerance. This evidence supports the recommendation of post-discharge dietary advice with ONS for patients who underwent gastric cancer surgery. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=gastric%20cancer%20surgery" title="gastric cancer surgery">gastric cancer surgery</a>, <a href="https://publications.waset.org/abstracts/search?q=oral%20nutritional%20supplements" title=" oral nutritional supplements"> oral nutritional supplements</a>, <a href="https://publications.waset.org/abstracts/search?q=malnutrition" title=" malnutrition"> malnutrition</a>, <a href="https://publications.waset.org/abstracts/search?q=gastric%20cancer" title=" gastric cancer"> gastric cancer</a> </p> <a href="https://publications.waset.org/abstracts/158998/post-discharge-oral-nutritional-supplements-following-gastric-cancer-surgery-a-systematic-review" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/158998.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">73</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2678</span> Hospital Evacuation: Best Practice Recommendations</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ronald%20Blough">Ronald Blough</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Hospitals, clinics, and medical facilities are the core of the Health Services sector providing 24/7 medical care to those in need. Any disruption of these important medical services highlights the vulnerabilities in the medical system. An internal or external event can create a catastrophic incident paralyzing the medical services causing the facility to shift into emergency operations with the possibility of evacuation. The hospital administrator and government officials must decide in a very short amount of time whether to shelter in place or evacuate. This presentation will identify best practice recommendations regarding the hospital evacuation decision and response analyzing previous hospital evacuations to encourage hospitals in the region to review or develop their own emergency evacuation plans. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=disaster%20preparedness" title="disaster preparedness">disaster preparedness</a>, <a href="https://publications.waset.org/abstracts/search?q=hospital%20evacuation" title=" hospital evacuation"> hospital evacuation</a>, <a href="https://publications.waset.org/abstracts/search?q=shelter-in-place" title=" shelter-in-place"> shelter-in-place</a>, <a href="https://publications.waset.org/abstracts/search?q=incident%20containment" title=" incident containment"> incident containment</a>, <a href="https://publications.waset.org/abstracts/search?q=health%20services%20vulnerability" title=" health services vulnerability"> health services vulnerability</a>, <a href="https://publications.waset.org/abstracts/search?q=hospital%20resources" title=" hospital resources"> hospital resources</a> </p> <a href="https://publications.waset.org/abstracts/11331/hospital-evacuation-best-practice-recommendations" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/11331.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">367</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2677</span> Design a Network for Implementation a Hospital Information System</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Abdulqader%20Rasool%20Feqi%20Mohammed">Abdulqader Rasool Feqi Mohammed</a>, <a href="https://publications.waset.org/abstracts/search?q=Ergun%20Er%C3%A7elebi%CC%87"> Ergun Erçelebi̇</a> </p> <p class="card-text"><strong>Abstract:</strong></p> A large number of hospitals from developed countries are adopting hospital information system to bring efficiency in hospital information system. The purpose of this project is to research on new network security techniques in order to enhance the current network security structure of save a hospital information system (HIS). This is very important because, it will avoid the system from suffering any attack. Security architecture was optimized but there are need to keep researching on best means to protect the network from future attacks. In this final project research, security techniques were uncovered to produce best network security results when implemented in an integrated framework. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=hospital%20information%20system" title="hospital information system">hospital information system</a>, <a href="https://publications.waset.org/abstracts/search?q=HIS" title=" HIS"> HIS</a>, <a href="https://publications.waset.org/abstracts/search?q=network%20security%20techniques" title=" network security techniques"> network security techniques</a>, <a href="https://publications.waset.org/abstracts/search?q=internet%20protocol" title=" internet protocol"> internet protocol</a>, <a href="https://publications.waset.org/abstracts/search?q=IP" title=" IP"> IP</a>, <a href="https://publications.waset.org/abstracts/search?q=network" title=" network"> network</a> </p> <a href="https://publications.waset.org/abstracts/44356/design-a-network-for-implementation-a-hospital-information-system" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/44356.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">440</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2676</span> Context-Aware Recommender Systems Using User's Emotional State</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Hoyeon%20Park">Hoyeon Park</a>, <a href="https://publications.waset.org/abstracts/search?q=Kyoung-jae%20Kim"> Kyoung-jae Kim</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The product recommendation is a field of research that has received much attention in the recent information overload phenomenon. The proliferation of the mobile environment and social media cannot help but affect the results of the recommendation depending on how the factors of the user's situation are reflected in the recommendation process. Recently, research has been spreading attention to the context-aware recommender system which is to reflect user's contextual information in the recommendation process. However, until now, most of the context-aware recommender system researches have been limited in that they reflect the passive context of users. It is expected that the user will be able to express his/her contextual information through his/her active behavior and the importance of the context-aware recommender system reflecting this information can be increased. The purpose of this study is to propose a context-aware recommender system that can reflect the user's emotional state as an active context information to recommendation process. The context-aware recommender system is a recommender system that can make more sophisticated recommendations by utilizing the user's contextual information and has an advantage that the user's emotional factor can be considered as compared with the existing recommender systems. In this study, we propose a method to infer the user's emotional state, which is one of the user's context information, by using the user's facial expression data and to reflect it on the recommendation process. This study collects the facial expression data of a user who is looking at a specific product and the user's product preference score. Then, we classify the facial expression data into several categories according to the previous research and construct a model that can predict them. Next, the predicted results are applied to existing collaborative filtering with contextual information. As a result of the study, it was shown that the recommended results of the context-aware recommender system including facial expression information show improved results in terms of recommendation performance. Based on the results of this study, it is expected that future research will be conducted on recommender system reflecting various contextual information. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=context-aware" title="context-aware">context-aware</a>, <a href="https://publications.waset.org/abstracts/search?q=emotional%20state" title=" emotional state"> emotional state</a>, <a href="https://publications.waset.org/abstracts/search?q=recommender%20systems" title=" recommender systems"> recommender systems</a>, <a href="https://publications.waset.org/abstracts/search?q=business%20analytics" title=" business analytics"> business analytics</a> </p> <a href="https://publications.waset.org/abstracts/88567/context-aware-recommender-systems-using-users-emotional-state" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/88567.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">229</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2675</span> Hospital 4.0 Maturity Assessment Model Development: Case of Moroccan Public Hospitals</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=T.%20Benazzouz">T. Benazzouz</a>, <a href="https://publications.waset.org/abstracts/search?q=K.%20Auhmani"> K. Auhmani</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper presents a Hospital 4.0 Maturity Assessment Model based on the Industry 4.0 concepts. The self-assessment model defines current and target states of digital transformation by considering multiple aspects of a hospital and a healthcare supply chain. The developed model was validated and evaluated on real-life cases. The resulting model consisted of 5 domains: Technology, Strategy 4.0, Human resources 4.0 & Culture 4.0, Supply chain 4.0 management, and Patient journeys management. Each domain is further divided into several sub-domains, totally 34 sub-domains are identified, that reflect different facets of a hospital 4.0 mature organization. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=hospital%204.0" title="hospital 4.0">hospital 4.0</a>, <a href="https://publications.waset.org/abstracts/search?q=Industry%204.0" title=" Industry 4.0"> Industry 4.0</a>, <a href="https://publications.waset.org/abstracts/search?q=maturity%20assessment%20model" title=" maturity assessment model"> maturity assessment model</a>, <a href="https://publications.waset.org/abstracts/search?q=supply%20chain%204.0" title=" supply chain 4.0"> supply chain 4.0</a>, <a href="https://publications.waset.org/abstracts/search?q=patient" title=" patient"> patient</a> </p> <a href="https://publications.waset.org/abstracts/159666/hospital-40-maturity-assessment-model-development-case-of-moroccan-public-hospitals" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/159666.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">89</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2674</span> A Case Study for User Rating Prediction on Automobile Recommendation System Using Mapreduce</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Jiao%20Sun">Jiao Sun</a>, <a href="https://publications.waset.org/abstracts/search?q=Li%20Pan"> Li Pan</a>, <a href="https://publications.waset.org/abstracts/search?q=Shijun%20Liu"> Shijun Liu</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Recommender systems have been widely used in contemporary industry, and plenty of work has been done in this field to help users to identify items of interest. Collaborative Filtering (CF, for short) algorithm is an important technology in recommender systems. However, less work has been done in automobile recommendation system with the sharp increase of the amount of automobiles. What’s more, the computational speed is a major weakness for collaborative filtering technology. Therefore, using MapReduce framework to optimize the CF algorithm is a vital solution to this performance problem. In this paper, we present a recommendation of the users’ comment on industrial automobiles with various properties based on real world industrial datasets of user-automobile comment data collection, and provide recommendation for automobile providers and help them predict users’ comment on automobiles with new-coming property. Firstly, we solve the sparseness of matrix using previous construction of score matrix. Secondly, we solve the data normalization problem by removing dimensional effects from the raw data of automobiles, where different dimensions of automobile properties bring great error to the calculation of CF. Finally, we use the MapReduce framework to optimize the CF algorithm, and the computational speed has been improved times. UV decomposition used in this paper is an often used matrix factorization technology in CF algorithm, without calculating the interpolation weight of neighbors, which will be more convenient in industry. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=collaborative%20filtering" title="collaborative filtering">collaborative filtering</a>, <a href="https://publications.waset.org/abstracts/search?q=recommendation" title=" recommendation"> recommendation</a>, <a href="https://publications.waset.org/abstracts/search?q=data%20normalization" title=" data normalization"> data normalization</a>, <a href="https://publications.waset.org/abstracts/search?q=mapreduce" title=" mapreduce"> mapreduce</a> </p> <a href="https://publications.waset.org/abstracts/54090/a-case-study-for-user-rating-prediction-on-automobile-recommendation-system-using-mapreduce" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/54090.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">217</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2673</span> Out of Hospital Cardiac Arrest in Kuala Lumpur: A Mixed Method Study on Incidence, Adherence to Protocol, and Issues</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mohd%20Said%20Nurumal">Mohd Said Nurumal</a>, <a href="https://publications.waset.org/abstracts/search?q=Sarah%20Sheikh%20Abdul%20Karim"> Sarah Sheikh Abdul Karim </a> </p> <p class="card-text"><strong>Abstract:</strong></p> Information regarding out of hospital cardiac arrest incidence include outcome in Malaysia is limited and fragmented. This study aims to identify incidence and adherence to protocol of out of hospital cardiac arrest and also to explore the issues faced by the pre-hospital personnel in regards managing cardiac arrest victim in Kuala Lumpur, Malaysia. A mixed method approach combining the qualitative and quantitative study design was used. The 285 pre-hospital care data sheet of out of hospital cardiac arrest during the year of 2011 were examined by using checklists for identify the incidence and adherence to protocol. Nine semi-structured interviews and two focus group discussions were performed. For the incidence based on the overall out of hospital cardiac arrest cases that occurred in 2011 (n=285), the survival rates were 16.8%. For adherence to protocol, only 89 (41.8%) of the cases adhered to the given protocol and 124 did not adhere to such protocol. The qualitative information provided insight about the issues related to out of hospital cardiac arrest in every aspect. All the relevant qualitative data were merged into few categories relating issues that could affect the management of out of hospital cardiac arrest performed by pre-hospital care team. One of the essential elements in the out of hospital cardiac arrest handling by pre-hospital care is to ensure increase of survival rates and excellent outcomes by adhering to given protocols based on international standard benchmarks. Measures are needed to strengthen the quick activation of the pre-hospital care service, prompt bystander cardiopulmonary resuscitation, early defibrillation and timely advanced cardiac life support and also to tackle all the issues highlighted in qualitative results. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=pre-hospital%20care" title="pre-hospital care">pre-hospital care</a>, <a href="https://publications.waset.org/abstracts/search?q=out%20of%20hospital%20cardiac%20arrest" title=" out of hospital cardiac arrest"> out of hospital cardiac arrest</a>, <a href="https://publications.waset.org/abstracts/search?q=incidence" title=" incidence"> incidence</a>, <a href="https://publications.waset.org/abstracts/search?q=protocol" title=" protocol"> protocol</a>, <a href="https://publications.waset.org/abstracts/search?q=mixed%20method%20research" title=" mixed method research"> mixed method research</a> </p> <a href="https://publications.waset.org/abstracts/12852/out-of-hospital-cardiac-arrest-in-kuala-lumpur-a-mixed-method-study-on-incidence-adherence-to-protocol-and-issues" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/12852.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">414</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2672</span> Hospital Beds: Figuring and Forecasting Patient Population Arriving at Health Care Research Institute, Illustrating Roemer's Law</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Karthikeyan%20Srinivasan">Karthikeyan Srinivasan</a>, <a href="https://publications.waset.org/abstracts/search?q=Ranjana%20Singh"> Ranjana Singh</a>, <a href="https://publications.waset.org/abstracts/search?q=Yatin%20Talwar"> Yatin Talwar</a>, <a href="https://publications.waset.org/abstracts/search?q=Karthikeyan%20Srinivasan"> Karthikeyan Srinivasan</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Healthcare services play a vital role in the life of human being. The Setup of Hospital varies in wide spectrum of cost, technology, and access. Hospital’s of Public sector satisfies need of a common man to poorer, which can differ at private owned hospitals on cost and treatment. Patient assessing hospital frequently assumes spending time at the hospital is miserable and not aware of what is happening around them. Mostly they are queued up round the clock waiting to be admitted on hospital beds. The idea here is to highlight the role in admitting patient population of Outdoor as well as Emergency entering the Post Graduate Institute of Medical Education and Research, Chandigarh with available hospital beds. This study emphasizes the trend forecasting and acquiring beds needed. The conception “if patient population increases’ likewise increasing hospital beds advertently perceived. If tend to increase the hospital beds, thereby exploring budget, Manpower, space, and infrastructure make compulsion. This survey ideally draws out planning and forecasting beds to cater patient population in and around neighboring state of Chandigarh for admission at territory healthcare and research institute on available hospital beds. Executing healthcare services for growing population needs to know Roemer’s law indicating "in an insured population, a hospital bed built is a filled bed". <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=admissions" title="admissions">admissions</a>, <a href="https://publications.waset.org/abstracts/search?q=average%20length%20of%20stay" title=" average length of stay"> average length of stay</a>, <a href="https://publications.waset.org/abstracts/search?q=bed%20days" title=" bed days"> bed days</a>, <a href="https://publications.waset.org/abstracts/search?q=hospital%20beds" title=" hospital beds"> hospital beds</a>, <a href="https://publications.waset.org/abstracts/search?q=occupancy%20rates" title=" occupancy rates"> occupancy rates</a> </p> <a href="https://publications.waset.org/abstracts/64179/hospital-beds-figuring-and-forecasting-patient-population-arriving-at-health-care-research-institute-illustrating-roemers-law" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/64179.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">278</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2671</span> Risk Management in Healthcare Sector in Turkey: A Dental Hospital Case Study</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=P%C4%B1r%C4%B1l%20Tekin">Pırıl Tekin</a>, <a href="https://publications.waset.org/abstracts/search?q=R%C4%B1zvan%20Erol"> Rızvan Erol</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Risk management has become very important and popular in developing countries in recent years. Especially making patient and employee health and safety issues compulsory in the hospitals, raised the number of studies in Turkey. Also risk management become more important for hospital senior management from clinics to the laboratories. Because quality is really important to be chosen for both patients to consult and employees to prefer to work. And also risk management studies can lead to hospital management team about future works and methods. By this point of view, this study is the risk assessment carried out in the biggest dental hospital in the south part of Turkey. This study was conducted as a research case study, covering two different health care place; A Clinic and A Laboratory. It shows that the problems in this dental hospital and how it can solve all. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=risk%20management" title="risk management">risk management</a>, <a href="https://publications.waset.org/abstracts/search?q=healthcare" title=" healthcare"> healthcare</a>, <a href="https://publications.waset.org/abstracts/search?q=dental%20hospital" title=" dental hospital"> dental hospital</a>, <a href="https://publications.waset.org/abstracts/search?q=quality%20management" title=" quality management"> quality management</a> </p> <a href="https://publications.waset.org/abstracts/44623/risk-management-in-healthcare-sector-in-turkey-a-dental-hospital-case-study" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/44623.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">377</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2670</span> Preliminary Investigation of Hospital Buildings Maintenance Management in Malaysia</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Christtestimony%20Oluwafemi%20Jesumoroti">Christtestimony Oluwafemi Jesumoroti</a>, <a href="https://publications.waset.org/abstracts/search?q=AbdulLateef%20Ashola%20Olanrewaju"> AbdulLateef Ashola Olanrewaju</a>, <a href="https://publications.waset.org/abstracts/search?q=Khor%20Soo%20Cheen"> Khor Soo Cheen</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The worth of buildings is known by the quality of the maintenance imbibe in them. Maintenance management being carried out in the hospitals has a direct impact on the performance of the hospital buildings, environment, and sustainable infrastructure, and as such, there is a need to give it adequate attention. The media and reports on hospital buildings maintenance management in Malaysia were not favorable. Hospital buildings in Malaysia need to have proper structure for maintenance management and sustainability as this will enhance the good infrastructure for users and the entire nation. The paper reports the preliminary results of the determinants of maintenance in hospital buildings. To achieve the aim of this research, a survey questionnaire was administered to the users of the hospital buildings. The findings of the study revealed that there are lack of maintenance standard, use of poor quality components and materials, Improper response time, Poor complaint reporting system. Hence, the influent of rework, thorough responsibilities of quality performance of hospital buildings, and others are the results of the investigations. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=sustainable%20infrastructure" title="sustainable infrastructure">sustainable infrastructure</a>, <a href="https://publications.waset.org/abstracts/search?q=optimum%20performance" title=" optimum performance"> optimum performance</a>, <a href="https://publications.waset.org/abstracts/search?q=implementation" title=" implementation"> implementation</a>, <a href="https://publications.waset.org/abstracts/search?q=key%20performance%20indicators" title=" key performance indicators"> key performance indicators</a>, <a href="https://publications.waset.org/abstracts/search?q=maintenance%20policies" title=" maintenance policies"> maintenance policies</a> </p> <a href="https://publications.waset.org/abstracts/131048/preliminary-investigation-of-hospital-buildings-maintenance-management-in-malaysia" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/131048.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">155</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2669</span> Waiting Time Reduction in a Government Hospital Emergency Department: A Case Study on AlAdan Hospital, Kuwait</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Bashayer%20AlRobayaan">Bashayer AlRobayaan</a>, <a href="https://publications.waset.org/abstracts/search?q=Munira%20Saad"> Munira Saad</a>, <a href="https://publications.waset.org/abstracts/search?q=Alaa%20AlBawab"> Alaa AlBawab</a>, <a href="https://publications.waset.org/abstracts/search?q=Fatma%20AlHamad"> Fatma AlHamad</a>, <a href="https://publications.waset.org/abstracts/search?q=Sara%20AlAwadhi"> Sara AlAwadhi</a>, <a href="https://publications.waset.org/abstracts/search?q=Sherif%20Fahmy"> Sherif Fahmy </a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper addresses the problem of long waiting times in government hospitals emergency departments (ED). It aims at finding feasible and simple ways of reducing waiting times that do not require a lot of resources and/or expenses. AlAdan Hospital in Kuwait was chosen to be understudy to further understand and capture the problem. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=healthcare" title="healthcare">healthcare</a>, <a href="https://publications.waset.org/abstracts/search?q=hospital" title=" hospital"> hospital</a>, <a href="https://publications.waset.org/abstracts/search?q=Kuwait" title=" Kuwait"> Kuwait</a>, <a href="https://publications.waset.org/abstracts/search?q=waiting%20times" title=" waiting times"> waiting times</a>, <a href="https://publications.waset.org/abstracts/search?q=emergency%20department" title=" emergency department"> emergency department</a> </p> <a href="https://publications.waset.org/abstracts/9389/waiting-time-reduction-in-a-government-hospital-emergency-department-a-case-study-on-aladan-hospital-kuwait" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/9389.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">489</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2668</span> Methodology for Diagnosing Architecture Improvements in a Cancer Hospital in Brasilia</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mariana%20Sabino">Mariana Sabino</a>, <a href="https://publications.waset.org/abstracts/search?q=Janes%20Cleiton%20de%20Oliveira"> Janes Cleiton de Oliveira</a>, <a href="https://publications.waset.org/abstracts/search?q=Carlos%20Luna%20de%20Melo"> Carlos Luna de Melo</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper presents a discussion about the importance and influence of the environment in the patient’s recovery process. Some users (employees and patients) were submitted to a questionnaire that helps to diagnoses the major problems of the hospital, specially related to comfort (aesthetic, thermal, acoustic, light, ergonomic), well-being, how does the flow of patients and employees works in the hospital and wayfinding as well. After a short literature review presenting the topic, the hospital will be characterized, showing photos, the projects available and describing the hospital as well (how many rooms, functions of each one, receptions, waiting rooms, between other things.), than the questionnaire will be applied to patients and to the employees. Lastly the results of the answers given will be analyzed in graphics, and it will help to identify which are the major improvements needed immediately. This paper has the intention to propose a methodology to diagnose architecture problems in a cancer hospital in Brasilia, Brazil, besides to open a space to hear the people that use the building to tell about their discomforts and perceptions of the environment, it also will give an opportunity to apply the possible improvements. It is important to tell that it will be considered if the hospital has a healing environment, and it will also be considered the ergonomic issues about comfort and the way the system of this particular hospital works in general. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=cancer%20hospital" title="cancer hospital">cancer hospital</a>, <a href="https://publications.waset.org/abstracts/search?q=comfort" title=" comfort"> comfort</a>, <a href="https://publications.waset.org/abstracts/search?q=diagnose" title=" diagnose"> diagnose</a>, <a href="https://publications.waset.org/abstracts/search?q=healing%20environment" title=" healing environment"> healing environment</a> </p> <a href="https://publications.waset.org/abstracts/92384/methodology-for-diagnosing-architecture-improvements-in-a-cancer-hospital-in-brasilia" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/92384.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">241</span> </span> </div> </div> <ul class="pagination"> <li class="page-item disabled"><span class="page-link">&lsaquo;</span></li> <li class="page-item active"><span class="page-link">1</span></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=hospital%20recommendation&page=2">2</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=hospital%20recommendation&page=3">3</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=hospital%20recommendation&page=4">4</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=hospital%20recommendation&page=5">5</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=hospital%20recommendation&page=6">6</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=hospital%20recommendation&page=7">7</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=hospital%20recommendation&page=8">8</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=hospital%20recommendation&page=9">9</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=hospital%20recommendation&page=10">10</a></li> <li class="page-item disabled"><span class="page-link">...</span></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=hospital%20recommendation&page=89">89</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=hospital%20recommendation&page=90">90</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=hospital%20recommendation&page=2" rel="next">&rsaquo;</a></li> </ul> </div> </main> <footer> <div id="infolinks" class="pt-3 pb-2"> <div class="container"> <div style="background-color:#f5f5f5;" class="p-3"> <div class="row"> <div class="col-md-2"> <ul class="list-unstyled"> About <li><a href="https://waset.org/page/support">About Us</a></li> <li><a href="https://waset.org/page/support#legal-information">Legal</a></li> <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/WASET-16th-foundational-anniversary.pdf">WASET celebrates its 16th foundational anniversary</a></li> </ul> </div> <div class="col-md-2"> <ul class="list-unstyled"> Account <li><a href="https://waset.org/profile">My Account</a></li> </ul> </div> <div class="col-md-2"> <ul class="list-unstyled"> Explore <li><a href="https://waset.org/disciplines">Disciplines</a></li> <li><a href="https://waset.org/conferences">Conferences</a></li> <li><a href="https://waset.org/conference-programs">Conference Program</a></li> <li><a href="https://waset.org/committees">Committees</a></li> <li><a href="https://publications.waset.org">Publications</a></li> </ul> </div> <div class="col-md-2"> <ul class="list-unstyled"> Research <li><a href="https://publications.waset.org/abstracts">Abstracts</a></li> <li><a href="https://publications.waset.org">Periodicals</a></li> <li><a href="https://publications.waset.org/archive">Archive</a></li> </ul> </div> <div class="col-md-2"> <ul class="list-unstyled"> Open Science <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/Open-Science-Philosophy.pdf">Open Science Philosophy</a></li> <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/Open-Science-Award.pdf">Open Science Award</a></li> <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/Open-Society-Open-Science-and-Open-Innovation.pdf">Open Innovation</a></li> <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/Postdoctoral-Fellowship-Award.pdf">Postdoctoral Fellowship Award</a></li> <li><a target="_blank" rel="nofollow" href="https://publications.waset.org/static/files/Scholarly-Research-Review.pdf">Scholarly Research Review</a></li> </ul> </div> <div class="col-md-2"> <ul class="list-unstyled"> Support <li><a href="https://waset.org/page/support">Support</a></li> <li><a href="https://waset.org/profile/messages/create">Contact Us</a></li> <li><a href="https://waset.org/profile/messages/create">Report Abuse</a></li> </ul> </div> </div> </div> </div> </div> <div class="container text-center"> <hr style="margin-top:0;margin-bottom:.3rem;"> <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank" class="text-muted small">Creative Commons Attribution 4.0 International License</a> <div id="copy" class="mt-2">© 2024 World Academy of Science, Engineering and Technology</div> </div> </footer> <a href="javascript:" id="return-to-top"><i class="fas fa-arrow-up"></i></a> <div class="modal" id="modal-template"> <div class="modal-dialog"> <div class="modal-content"> <div class="row m-0 mt-1"> <div class="col-md-12"> <button type="button" class="close" data-dismiss="modal" aria-label="Close"><span aria-hidden="true">×</span></button> </div> </div> <div class="modal-body"></div> </div> </div> </div> <script src="https://cdn.waset.org/static/plugins/jquery-3.3.1.min.js"></script> <script src="https://cdn.waset.org/static/plugins/bootstrap-4.2.1/js/bootstrap.bundle.min.js"></script> <script src="https://cdn.waset.org/static/js/site.js?v=150220211556"></script> <script> jQuery(document).ready(function() { /*jQuery.get("https://publications.waset.org/xhr/user-menu", function (response) { jQuery('#mainNavMenu').append(response); });*/ jQuery.get({ url: "https://publications.waset.org/xhr/user-menu", cache: false }).then(function(response){ jQuery('#mainNavMenu').append(response); }); }); </script> </body> </html>