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Predictive Models of Mortality for Hospitalized Patients With COVID-19: Retrospective Cohort Study.

Taiyao WangAris PaschalidisQuanying LiuYing-Xia LiuYe YuanIoannis Ch Paschalidis
Published in: JMIR medical informatics (2020)
Machine learning models can be successfully employed to accurately predict outcomes of patients with COVID-19. Our models achieved high accuracies and could predict outcomes more than one week in advance; this promising result suggests that these models can be highly useful for resource allocation in hospitals.
Keyphrases
  • machine learning
  • healthcare
  • cardiovascular disease
  • cardiovascular events
  • artificial intelligence
  • coronary artery disease