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

Early Results from COVID-19 Studies (309) JMIR Theme Issue: COVID-19 Special Issue (2461) Wearable Devices and Sensors (903) Formative Evaluation of Digital Health Interventions (2491) mHealth in a Clinical Setting (624) Clinical Informatics (1050)

Published on in Vol 6, No 6 (2022): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/35717, first published .
A Scalable Risk-Scoring System Based on Consumer-Grade Wearables for Inpatients With COVID-19: Statistical Analysis and Model Development

A Scalable Risk-Scoring System Based on Consumer-Grade Wearables for Inpatients With COVID-19: Statistical Analysis and Model Development

A Scalable Risk-Scoring System Based on Consumer-Grade Wearables for Inpatients With COVID-19: Statistical Analysis and Model Development

Authors of this article:

Simon Föll1 Author Orcid Image ;   Adrian Lison1 Author Orcid Image ;   Martin Maritsch1 Author Orcid Image ;   Karsten Klingberg2 Author Orcid Image ;   Vera Lehmann3 Author Orcid Image ;   Thomas Züger1, 3, 4 Author Orcid Image ;   David Srivastava2 Author Orcid Image ;   Sabrina Jegerlehner2 Author Orcid Image ;   Stefan Feuerriegel1, 5 Author Orcid Image ;   Elgar Fleisch1, 6 Author Orcid Image ;   Aristomenis Exadaktylos2 Author Orcid Image ;   Felix Wortmann1, 6 Author Orcid Image
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