Use of artificial intelligence to develop predictive algorithms of cough and PCR-confirmed COVID-19 infections based on inputs from clinical-grade wearable sensors

There have been over 769 million cases of COVID-19, and up to 50% of infected individuals are asymptomatic. The purpose of this study aimed to assess the use of a clinical-grade physiological wearable monitoring system, ANNE One, to develop an artificial intelligence algorithm for (1) cough detectio...

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Bibliographic Details
Published in:	Scientific reports Vol. 14; no. 1; pp. 8072 - 11
Main Authors:	Walter, Jessica R., Lee, Jong Yoon, Yu, Lian, Kim, Brandon, Martell, Knute, Opdycke, Anita, Scheffel, Jenny, Felsl, Ingrid, Patel, Soham, Rangel, Stephanie, Serao, Alexa, Edel, Claire, Bharat, Ankit, Xu, Shuai
Format:	Journal Article
Language:	English
Published:	London Nature Publishing Group UK 05.04.2024 Nature Publishing Group Nature Portfolio
Subjects:	692/1807/1809 692/308/53/2421 692/699/255/2514 692/700/478/174 Algorithms Artificial intelligence Biomarkers Cough COVID-19 Disease detection Heart rate Humanities and Social Sciences multidisciplinary Physiology Respiration Science Science (multidisciplinary) Sensors
ISSN:	2045-2322, 2045-2322
Online Access:	Get full text
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