An infection prediction model developed from inpatient data can predict out-of-hospital COVID-19 infections from wearable data when controlled for dataset shift

Abstract The COVID-19 pandemic highlighted the importance of early detection of illness and the need for health monitoring solutions outside of the hospital setting. We have previously demonstrated a real-time system to identify COVID-19 infection before diagnostic testing, that was powered by comme...

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主要な著者:	Ting Feng, Sara Mariani, Bryan Conroy, Robert Damiano, Ikaro Silva, Dennis Swearingen, Daniel C. McFarlane
フォーマット:	Artigo
言語:	Inglês
出版事項:	Nature Portfolio 2025-09-01
シリーズ:	Scientific Reports
主題:	Infection prediction Wearable physiological monitoring Clinical decision support (CDS) Dataset shift Machine learning COVID-19 infection
オンライン･アクセス:	https://doi.org/10.1038/s41598-025-17593-y
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