Demystifying machine learning for mortality prediction

J. M. Smit*, M. E. van Genderen, M. J.T. Reinders, D. A.M.P.J. Gommers, J. H. Krijthe, J. Van Bommel

*Corresponding author for this work

Research output: Contribution to journalComment/Letter to the editorProfessional

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Abstract

With interest, we read the article by Banoei et al. [1] on machine learning (ML) models to predict mortality among COVID-19 patients. They refer to other studies that failed to predict mortality using ‘conventional statistical analysis’, after which they present a linear ML model as a better suited method for such complex medical problems. We feel such a claim creates an image around ML as an alternative technique that offers solutions where statistical modeling fails. However, ML and statistical modeling are tightly interwoven. [...]
Original languageEnglish
Article number447
JournalCritical Care
Volume25
Issue number1
DOIs
Publication statusPublished - 23 Dec 2021

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