Clinical Predictive Models for COVID-19: Systematic Study

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Authors

August DuMont Schütte · Board of the Swiss Federal Institutes of Technology

Benedikt Dietz · Board of the Swiss Federal Institutes of Technology

Stefan Bauer · Max Planck Institute for Intelligent Systems

Abstract

Our results indicate that predictive models trained on routinely collected clinical data could be used to predict clinical pathways for COVID-19 and, therefore, help inform care and prioritize resources.

Topics & Keywords

COVID-19 diagnosis using AI Machine Learning in Healthcare Artificial Intelligence in Healthcare and Education

Publication Details

Published in: Journal of Medical Internet Research

Volume 22, Issue 10, pp. e21439-e21439

DOI: 10.2196/21439

Field-Weighted Citation Impact: 9.35

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Clinical Predictive Models for COVID-19: Systematic Study

Authors

Abstract

Topics & Keywords

Publication Details