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Journal article

Disease-Course Adapting Machine Learning Prognostication Models in Elderly Patients Critically Ill With COVID-19: Multicenter Cohort Study With External Validation

Abstract

BACKGROUND: The COVID-19 pandemic caused by SARS-CoV-2 is challenging health care systems globally. The disease disproportionately affects the elderly population, both in terms of disease severity and mortality risk. OBJECTIVE: The aim of this study was to evaluate machine learning-based prognostication models for critically ill elderly COVID-19 patients, which dynamically incorporated multifaceted clinical information on evolution of the …

Authors

Jung C; Mamandipoor B; Fjølner J; Bruno RR; Wernly B; Artigas A; Pinto BB; Schefold JC; Wolff G; Kelm M

Journal

JMIR Medical Informatics, Vol. 10, No. 3,

Publisher

JMIR Publications

DOI

10.2196/32949

ISSN

2291-9694

Labels

Sustainable Development Goals (SDG)