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

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

BackgroundThe 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. ObjectiveThe aim of this study was to evaluate ma...

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Bibliographic Details
Main Authors: Christian Jung, Behrooz Mamandipoor, Jesper Fjølner, Raphael Romano Bruno, Bernhard Wernly, Antonio Artigas, Bernardo Bollen Pinto, Joerg C Schefold, Georg Wolff, Malte Kelm, Michael Beil, Sigal Sviri, Peter V van Heerden, Wojciech Szczeklik, Miroslaw Czuczwar, Muhammed Elhadi, Michael Joannidis, Sandra Oeyen, Tilemachos Zafeiridis, Brian Marsh, Finn H Andersen, Rui Moreno, Maurizio Cecconi, Susannah Leaver, Dylan W De Lange, Bertrand Guidet, Hans Flaatten, Venet Osmani
Format: Article
Language:English
Published: JMIR Publications 2022-03-01
Series:JMIR Medical Informatics
Online Access:https://medinform.jmir.org/2022/3/e32949

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https://medinform.jmir.org/2022/3/e32949

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