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https://idr.l3.nitk.ac.in/jspui/handle/123456789/14694
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DC Field | Value | Language |
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dc.contributor.author | Mayya V. | |
dc.contributor.author | Karthik K. | |
dc.contributor.author | Kamath S.S. | |
dc.contributor.author | Karadka K. | |
dc.contributor.author | Jeganathan J. | |
dc.date.accessioned | 2021-05-05T10:15:40Z | - |
dc.date.available | 2021-05-05T10:15:40Z | - |
dc.date.issued | 2021 | |
dc.identifier.citation | HEALTHINF 2021 - 14th International Conference on Health Informatics; Part of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2021 , Vol. , , p. 659 - 666 | en_US |
dc.identifier.uri | https://doi.org/ | |
dc.identifier.uri | http://idr.nitk.ac.in/jspui/handle/123456789/14694 | - |
dc.description.abstract | The COVID-19 pandemic has affected the world on a global scale, infecting nearly 68 million people across the world, with over 1.5 million fatalities as of December 2020. A cost-effective early-screening strategy is crucial to prevent new outbreaks and to curtail the rapid spread. Chest X-ray images have been widely used to diagnose various lung conditions such as pneumonia, emphysema, broken ribs and cancer. In this work, we explore the utility of chest X-ray images and available expert-written diagnosis reports, for training neural network models to learn disease representations for diagnosis of COVID-19. A manually curated dataset consisting of 450 chest X-rays of COVID-19 patients and 2,000 non-COVID cases, along with their diagnosis reports were collected from reputed online sources. Convolutional neural network models were trained on this multimodal dataset, for prediction of COVID-19 induced pneumonia. A comprehensive clinical decision support system powered by ensemble deep learning models (CADNN) is designed and deployed on the web. The system also provides a relevance feedback mechanism through which it learns multimodal COVID-19 representations for supporting clinical decisions. Copyright © 2021 by SCITEPRESS – Science and Technology Publications, Lda. All rights reserved | en_US |
dc.title | COVIDDX: AI-based clinical decision support system for learning COVID-19 disease representations from multimodal patient data | en_US |
dc.type | Conference Paper | en_US |
Appears in Collections: | 2. Conference Papers |
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