Projecting COVID-19 disease severity in cancer patients using purposefully-designed machine learning

Projecting COVID-19 disease severity in cancer patients using purposefully-designed machine learning

Abstract Background Accurately predicting outcomes for cancer patients with COVID-19 has been clinically challenging. Numerous clinical variables have been retrospectively associated with disease severity, but the predictive value of these variables, and how multiple variables interact to increase r...

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Bibliographic Details
Main Authors:	Saket Navlakha, Sejal Morjaria, Rocio Perez-Johnston, Allen Zhang, Ying Taur
Format:	Article
Language:	English
Published:	BMC 2021-05-01
Series:	BMC Infectious Diseases
Subjects:	Clinical machine learning COVID-19 Infectious diseases Cancer Predictive modeling
Online Access:	https://doi.org/10.1186/s12879-021-06038-2

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