Personalized Analytics and a Wearable Biosensor Platform for Early Detection of COVID-19 Decompensation (DeCODe): Protocol for the Development of the COVID-19 Decompensation Index.

Larimer, Karen; Wegerich, Stephan; Splan, Joel; Chestek, David; Prendergast, Heather; Vanden Hoek, Terry

Larimer, Karen; Wegerich, Stephan; Splan, Joel; Chestek, David; Prendergast, Heather; Vanden Hoek, Terry.

Affiliation

Larimer K; physIQ, Inc, Chicago, IL, United States.
Wegerich S; physIQ, Inc, Chicago, IL, United States.
Splan J; physIQ, Inc, Chicago, IL, United States.
Chestek D; Emergency Department, University of Illinois Health, Chicago, IL, United States.
Prendergast H; Emergency Department, University of Illinois Health, Chicago, IL, United States.
Vanden Hoek T; Emergency Department, University of Illinois Health, Chicago, IL, United States.

JMIR Res Protoc ; 10(5): e27271, 2021 May 26.

Article in En | MEDLINE | ID: mdl-33949966

Key words

COVID-19; analytic; artificial intelligence; biomarker; cloud; decompensation; detection; development; index; monitoring; outcome; remote monitoring; symptom validation; wearable

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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Diagnostic_studies / Prognostic_studies / Screening_studies Language: En Journal: JMIR Res Protoc Year: 2021 Document type: Article Affiliation country: Estados Unidos Country of publication: Canadá

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