Comparing machine learning algorithms for predicting ICU admission and mortality in COVID-19

Comparing machine learning algorithms for predicting ICU admission and mortality in COVID-19

Abstract As predicting the trajectory of COVID-19 is challenging, machine learning models could assist physicians in identifying high-risk individuals. This study compares the performance of 18 machine learning algorithms for predicting ICU admission and mortality among COVID-19 patients. Using COVI...

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Bibliographic Details
Main Authors: Sonu Subudhi, Ashish Verma, Ankit B. Patel, C. Corey Hardin, Melin J. Khandekar, Hang Lee, Dustin McEvoy, Triantafyllos Stylianopoulos, Lance L. Munn, Sayon Dutta, Rakesh K. Jain
Format: Article
Language:English
Published: Nature Publishing Group 2021-05-01
Series:npj Digital Medicine
Online Access:https://doi.org/10.1038/s41746-021-00456-x

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https://doi.org/10.1038/s41746-021-00456-x

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