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

JMIR Theme Issue: COVID-19 Special Issue (2452) Machine Learning (1465) Secondary Use of Clinical Data for Research and Surveillance (366) Infectious Diseases (non-STD/STI) (1575) Outbreak and Pandemic Preparedness and Management (1727) Surveillance Systems (462) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1517) Intensive Care Unit (ICU) (112)

Published on in Vol 22, No 10 (2020): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/21439, first published .
Clinical Predictive Models for COVID-19: Systematic Study

Clinical Predictive Models for COVID-19: Systematic Study

Clinical Predictive Models for COVID-19: Systematic Study

Authors of this article:

Patrick Schwab1 Author Orcid Image ;   August DuMont Schütte2 Author Orcid Image ;   Benedikt Dietz2 Author Orcid Image ;   Stefan Bauer3 Author Orcid Image
Article Authors Cited by (67) Tweetations (3) Metrics

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Books/Policy Documents

  1. Durgadevi V, Arunagiri B, Dhanapal V, Seeniraj Y, Thirugnanam S. Ambient Intelligence in Health Care. View
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