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