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...

Full description

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

Internet

https://doi.org/10.1186/s12879-021-06038-2

Similar Items