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...
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 |
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Format: | Article |
Language: | English |
Published: |
Nature Publishing Group
2021-05-01
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Series: | npj Digital Medicine |
Online Access: | https://doi.org/10.1038/s41746-021-00456-x |
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