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<button class="button is-small is-link">Go</button> </div> </div> </form> </div> </div> <ol class="breathe-horizontal" start="1"> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2311.00737">arXiv:2311.00737</a> <span> [<a href="https://arxiv.org/pdf/2311.00737">pdf</a>] </span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Machine Learning">cs.LG</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Instrumentation and Detectors">physics.ins-det</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Medical Physics">physics.med-ph</span> </div> </div> <p class="title is-5 mathjax"> Real-Time Magnetic Tracking and Diagnosis of COVID-19 via Machine Learning </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/cs?searchtype=author&query=Nguyen%2C+D">Dang Nguyen</a>, <a href="/search/cs?searchtype=author&query=Huynh%2C+P+K">Phat K. Huynh</a>, <a href="/search/cs?searchtype=author&query=Bui%2C+V+D+A">Vinh Duc An Bui</a>, <a href="/search/cs?searchtype=author&query=Hwang%2C+K+Y">Kee Young Hwang</a>, <a href="/search/cs?searchtype=author&query=Jain%2C+N">Nityanand Jain</a>, <a href="/search/cs?searchtype=author&query=Nguyen%2C+C">Chau Nguyen</a>, <a href="/search/cs?searchtype=author&query=Minh%2C+L+H+N">Le Huu Nhat Minh</a>, <a href="/search/cs?searchtype=author&query=Van+Truong%2C+L">Le Van Truong</a>, <a href="/search/cs?searchtype=author&query=Nguyen%2C+X+T">Xuan Thanh Nguyen</a>, <a href="/search/cs?searchtype=author&query=Nguyen%2C+D+H">Dinh Hoang Nguyen</a>, <a href="/search/cs?searchtype=author&query=Dung%2C+L+T">Le Tien Dung</a>, <a href="/search/cs?searchtype=author&query=Le%2C+T+Q">Trung Q. Le</a>, <a href="/search/cs?searchtype=author&query=Phan%2C+M">Manh-Huong Phan</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2311.00737v1-abstract-short" style="display: inline;"> The COVID-19 pandemic underscored the importance of reliable, noninvasive diagnostic tools for robust public health interventions. In this work, we fused magnetic respiratory sensing technology (MRST) with machine learning (ML) to create a diagnostic platform for real-time tracking and diagnosis of COVID-19 and other respiratory diseases. The MRST precisely captures breathing patterns through thre… <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2311.00737v1-abstract-full').style.display = 'inline'; document.getElementById('2311.00737v1-abstract-short').style.display = 'none';">▽ More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2311.00737v1-abstract-full" style="display: none;"> The COVID-19 pandemic underscored the importance of reliable, noninvasive diagnostic tools for robust public health interventions. In this work, we fused magnetic respiratory sensing technology (MRST) with machine learning (ML) to create a diagnostic platform for real-time tracking and diagnosis of COVID-19 and other respiratory diseases. The MRST precisely captures breathing patterns through three specific breath testing protocols: normal breath, holding breath, and deep breath. We collected breath data from both COVID-19 patients and healthy subjects in Vietnam using this platform, which then served to train and validate ML models. Our evaluation encompassed multiple ML algorithms, including support vector machines and deep learning models, assessing their ability to diagnose COVID-19. Our multi-model validation methodology ensures a thorough comparison and grants the adaptability to select the most optimal model, striking a balance between diagnostic precision with model interpretability. The findings highlight the exceptional potential of our diagnostic tool in pinpointing respiratory anomalies, achieving over 90% accuracy. This innovative sensor technology can be seamlessly integrated into healthcare settings for patient monitoring, marking a significant enhancement for the healthcare infrastructure. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2311.00737v1-abstract-full').style.display = 'none'; document.getElementById('2311.00737v1-abstract-short').style.display = 'inline';">△ Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 1 November, 2023; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> November 2023. </p> </li> </ol> <div class="is-hidden-tablet">  <span class="help" style="display: inline-block;"><a href="https://github.com/arXiv/arxiv-search/releases">Search v0.5.6 released 2020-02-24</a>  </span> </div> </div> </main> <footer> <div class="columns is-desktop" role="navigation" aria-label="Secondary">  <div class="column"> <div class="columns"> <div 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