Predicting hospitalization of COVID-19 positive patients using clinician-guided machine learning methods.

Wenyu SongLinying ZhangLuwei LiuMichael SainlaireMehran KarvarMin-Jeoung KangAvery PullmanStuart LipsitzAnthony MassaroNamrata PatilRavi JasujaPatricia C Dykes

Published in: Journal of the American Medical Informatics Association : JAMIA (2022)

In this study, we developed 4 machine learning models for predicting general hospitalization among COVID positive older adults. We identified important clinical factors associated with hospitalization and observed temporal patterns in our study cohort. Our modeling pipeline and algorithm could potentially be used to facilitate more accurate and efficient decision support for triaging COVID positive patients.

Keyphrases

machine learning
coronavirus disease
sars cov
end stage renal disease
artificial intelligence
physical activity
big data
high resolution
mass spectrometry
data analysis