A machine learning algorithm to increase COVID-19 inpatient diagnostic capacity

Worldwide, testing capacity for SARS-CoV-2 is limited and bottlenecks in the scale up of polymerase chain reaction (PCR-based testing exist. Our aim was to develop and evaluate a machine learning algorithm to diagnose COVID-19 in the inpatient setting. The algorithm was based on basic demographic an...

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Bibliographic Details
Published inPloS one Vol. 15; no. 9; p. e0239474
Main Authors Goodman-Meza, David, Rudas, Akos, Chiang, Jeffrey N, Adamson, Paul C, Ebinger, Joseph, Sun, Nancy, Botting, Patrick, Fulcher, Jennifer A, Saab, Faysal G, Brook, Rachel, Eskin, Eleazar, An, Ulzee, Kordi, Misagh, Jew, Brandon, Balliu, Brunilda, Chen, Zeyuan, Hill, Brian L, Rahmani, Elior, Halperin, Eran, Manuel, Vladimir
Format Journal Article
LanguageEnglish
Published United States Public Library of Science 22.09.2020
Public Library of Science (PLoS)
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