Evaluation of a machine learning approach utilizing wearable data for prediction of SARS-CoV-2 infection in healthcare workers

OBJECTIVE: To determine whether a machine learning model can detect SARS-CoV-2 infection from physiological metrics collected from wearable devices. MATERIALS AND METHODS: Health care workers from 7 hospitals were enrolled and prospectively followed in a multicenter observational study. Subjects dow...

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Detalles Bibliográficos
Autores principales: Hirten, Robert P, Tomalin, Lewis, Danieletto, Matteo, Golden, Eddye, Zweig, Micol, Kaur, Sparshdeep, Helmus, Drew, Biello, Anthony, Pyzik, Renata, Bottinger, Erwin P, Keefer, Laurie, Charney, Dennis, Nadkarni, Girish N, Suarez-Farinas, Mayte, Fayad, Zahi A
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Research and Applications
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9129173/
https://www.ncbi.nlm.nih.gov/pubmed/35677186
http://dx.doi.org/10.1093/jamiaopen/ooac041

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9129173/
https://www.ncbi.nlm.nih.gov/pubmed/35677186
http://dx.doi.org/10.1093/jamiaopen/ooac041

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