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

Medicine and Health

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

S. Subudhi, A. Verma, et al.

This intriguing study dives into predicting COVID-19 outcomes using 18 machine learning algorithms. Discover how ensemble models outshine others, revealing key biomarkers for ICU admission and mortality, all thanks to the research conducted by Sonu Subudhi, Ashish Verma, Ankit B. Patel, C. Corey Hardin, Melin J. Khandekar, Hang Lee, Dustin McEvoy, Triantafyllos Stylianopoulos, Lance L. Munn, Sayon Dutta, and Rakesh K. Jain.

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~3 min • Beginner • English
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