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.

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

Using machine learning techniques on a large data set of patients with COVID-19 could provide valuable insights into the pathophysiology of COVID-19 and a digital biomarker for COVID-19 decompensation. Through this study, we intend to develop a tool that can uniquely reflect physiological data of a diverse population and contribute to high-quality data that will help researchers better understand COVID-19.

Published in Journal Medical Internet Research (2021)

JMIR Res Protoc. 2021 May 26;10(5):e27271. doi: 10.2196/27271