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The goal of ITME 2019 is to further explore the theoretical and practical issues of Big Data and IT in medicine and education. It also aims to foster new ideas and collaboration between researchers and practitioners. The organizing committee is soliciting unpublished papers for the main conference and its special tracks. The major topics include, but not limited to: IT in Medicine 1. Artificial intelligence (AI) enhanced medical diagnosis 2. Big medical data analysis and processing 3. Biomechanics, modeling and computing 4. Computer-Aided diagnostic (CAD) 5. Construction of medical database 6. CT, MRI, PET, SPECT image acquisition and analysis 7. Data mining in medical applications 8. Digital virtual organ and clinical application 9. e-Health and e-Hospital 10. Health informatics education 11. Hospital information management 12. Machine learning technologies in medical services 13. Medical image processing & compression 14. Standard in health informatics and cross-language solution 15. Three dimension reconstruction for medical imaging IT in Education 1. Architecture of Educational Information Systems 2. Artificial Intelligence (AI) Technologies in Educational System 3. Automated Education Systems 4. Building and Sharing Digital Education Resources on the Internet 5. Collaborative Learning/Training 6. Computer Aided Teaching and Campus Network Construction 7. Curriculum Design and Development for Open/Distance Education 8. Digital Library 9. e-Learning Pedagogical Strategies 10. Ethical and Social Issues in Using IT in Education 11. Innovative Software and Hardware Systems for Education and Training 12. Learning Management Information Systems 13. Machine Learning and Data Mining Applications in Education 14. Managed Learning Environments 15. Multimedia and Hypermedia Applications and Knowledge Management in Education 16. Plagiarism Issues on Open/Distance Education 17. Security and Privacy issues with e-learning 18. Software Agents and Applications in Education 19. Web Based Systems for Education Big Data and It’s Application 1. Artificial intelligence (AI) in medical and healthcare services 2. Big data based knowledge system development and tools 3. Big data based reference, ranking, decision making, and prediction 4. Big data knowledge extraction, discovery, analysis, presentation, and visualization 5. Big data knowledge indexing, classification, sharing, and assembly 6. Big data knowledge integration, merging, migration, and transformation 7. Big data knowledge-based open-source development and technology 8. Big data research and project experience in bio-medical and health care application services 9. Big data research application and service systems in multi-media and social networking 10. Big data research applications and service systems in hospitality, transportation and urban planning 11. Big data research applications in Industry and Agriculture 12. Bio-medical and healthcare services and applications based on big data 13. Cloud computing in medical and healthcare services 14. Deep learning technologies and applications for medical and healthcare services 15. Distributed systems in medical and healthcare services 16. Innovative, concurrent, and scalable big data intelligence analysis 17. Machine learning theories and applications for medical and healthcare services 18. Machine learning, data mining and image processing algorithms for big data 19. Traditional Chinese Medicine Healthcare Management based on Big Data Artificial Intelligence and It’s Application 1. AI Algorithms 2. Artificial Intelligence Tools & Applications 3. Automatic Control 4. Computer Vision and Speech Understanding 5. Data Mining 6. Data Visualization 7. E-commerce, E-medicine 8. Heuristic and AI Planning Strategies 9. Hybrid Intelligent Systems 10. Intelligent System Architectures 11. Machine Learning and Deep Learning 12. Multimedia & Cognitive Informatics 13. Pervasive Computing and Ambient Intelligence 14. Reasoning and Evolution 15. Robotics 16. Semantic Web 17. Signal Processing 18. Soft Computing and Applications 19. Web Intelligence Applications & Search Other related theories, Technologies and applications</pre><div class="alert alert-warning"> Last updated by <a href="/researcher/1">Dou Sun</a> in 2019-05-12</div> </div> </div>  <div class="portlet" id="yw2"> <div class="portlet-decoration"> <div class="portlet-title"><i class="icon icon-th"></i> Related Conferences</div> </div> <div class="portlet-content"> <div class="hidden-phone"> <div id="yw3" class="grid-view"> <table class="table table-hover table-striped table-bordered table-condensed"> <thead> <tr> <th id="yw3_c0">CCF</th><th id="yw3_c1">CORE</th><th id="yw3_c2">QUALIS</th><th id="yw3_c3">Short</th><th id="yw3_c4">Full Name</th><th id="yw3_c5">Submission</th><th id="yw3_c6">Notification</th><th id="yw3_c7">Conference</th></tr> </thead> <tbody> <tr class="odd"> <td></td><td><span class="badge badge-warning">a</span></td><td><span class="badge badge-warning">b1</span></td><td>AIED</td><td><a href="/conference/492">International Conference 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class="grid-view"> <table class="table table-hover table-striped table-bordered table-condensed"> <thead> <tr> <th id="yw7_c0">Full Name</th><th id="yw7_c1">Impact Factor</th><th id="yw7_c2">Publisher</th></tr> </thead> <tbody> <tr class="odd"> <td><a href="/journal/841">Transforming Government: People, Process and Policy</a></td><td>2.600</td><td>Emerald</td></tr> <tr class="even"> <td><a href="/journal/842">Symmetry</a></td><td>2.200</td><td>MDPI</td></tr> <tr class="odd"> <td><a href="/journal/675">International Journal of Information and Computer Security</a></td><td></td><td>Inderscience</td></tr> <tr class="even"> <td><a href="/journal/565">IEEE Software</a></td><td>3.300</td><td>IEEE</td></tr> <tr class="odd"> <td><a href="/journal/564">IEEE Internet of Things Journal</a></td><td>8.200</td><td>IEEE</td></tr> <tr class="even"> <td><a href="/journal/576">IEEE Transactions on Human-Machine Systems</a></td><td>3.500</td><td>IEEE</td></tr> <tr class="odd"> <td><a href="/journal/566">IEEE Transaction on Affective Computing</a></td><td> </td><td>IEEE</td></tr> </tbody> </table><div class="keys" style="display:none" title="/conference/1425"><span>841</span><span>842</span><span>675</span><span>565</span><span>564</span><span>576</span><span>566</span></div> </div></div> </div> </div> <div class="portlet" id="yw8"> <div class="portlet-decoration"> <div class="portlet-title"><i class="icon icon-eye-open"></i> Recommendation</div> </div> <div class="portlet-content"> <div align="center"> <script async src="//pagead2.googlesyndication.com/pagead/js/adsbygoogle.js"></script>  <ins class="adsbygoogle" style="display:block" data-ad-client="ca-pub-6743617430731451" data-ad-slot="1870704128" data-ad-format="autorelaxed"></ins> <script> (adsbygoogle = window.adsbygoogle || []).push({}); </script> </div> </div> </div> </div> <div class="span2 hidden-phone"> <div class="sidebar-nav"> <ul id="yw9"> <li><a 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title="/conference/1425"><span>56409</span><span>26558</span><span>14942</span><span>13974</span></div> </div> <div id="yw12" class="grid-view"> <table class="table table-hover table-striped table-bordered table-condensed"> <thead> <tr> <th id="yw12_c0">Attender</th><th id="yw12_c1">Year</th></tr> </thead> <tbody> <tr class="odd"> <td><a href="/researcher/56409">Hua Li (20)</a></td><td>2019</td></tr> </tbody> </table><div class="keys" style="display:none" title="/conference/1425"><span>56409</span></div> </div> <div class="portlet" id="yw14"> <div class="portlet-decoration"> <div class="portlet-title"><i class="icon icon-gift"></i> Advertisment</div> </div> <div class="portlet-content"> <div align="center"> <div id="12717-20"><script src="//ads.themoneytizer.com/s/gen.js?type=20"></script><script src="//ads.themoneytizer.com/s/requestform.js?siteId=12717&formatId=20" ></script></div> </div>    </div> </div> </div> </div> </div> </div> </section>  <footer> <div class="subnav navbar"> 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