This paper is in the following e-collection/theme issue:

Non-randomized Protocols and Methods (ehealth) (567) JMIR Theme Issue: COVID-19 Special Issue (2452) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1517) Outbreak and Pandemic Preparedness and Management (1727) Infectious Diseases (non-STD/STI) (1575) Wearable Devices and Sensors (888) Artificial Intelligence (1371) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1399) Telehealth and Telemonitoring (1671) Digital Biomarkers and Digital Phenotyping (191)

Published on in Vol 10, No 5 (2021): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/27271, first published .
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

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

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

Authors of this article:

Karen Larimer1 Author Orcid Image ;   Stephan Wegerich1 Author Orcid Image ;   Joel Splan1 Author Orcid Image ;   David Chestek2 Author Orcid Image ;   Heather Prendergast2 Author Orcid Image ;   Terry Vanden Hoek2 Author Orcid Image
Article Authors Cited by (7) Tweetations (3) Metrics

Karen Larimer   1 * , PhD ;   Stephan Wegerich   1 * , MS ;   Joel Splan   1 * , BA ;   David Chestek   2 * , DO ;   Heather Prendergast   2 * , MD ;   Terry Vanden Hoek   2 * , MD

1 physIQ, Inc, Chicago, IL, United States

2 Emergency Department, University of Illinois Health, Chicago, IL, United States

*all authors contributed equally

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