PRCTC: a machine learning model for prediction of response to corticosteroid therapy in COVID-19 patients.

ABSTRACT: Corticosteroid has been proved to be one of the few effective treatments for COVID-19 patients. However, not all the patients were suitable for corticosteroid therapy. In this study, we aimed to propose a machine learning model to forecast the response to corticosteroid therapy in COVID-19 patients. We retrospectively collected the clinical data about 666 COVID-19 patients receiving corticosteroid therapy between January 27, 2020, and March 30, 2020, from two hospitals in China. The response to corticosteroid therapy was evaluated by hospitalization time, oxygen supply duration, and the outcomes of patients. Least Absolute Shrinkage and Selection Operator (LASSO) was applied for feature selection. Five prediction models were applied in the training cohort and assessed in an internal and an

SUBMITTER: Gao Y 

PROVIDER: S-EPMC8791209 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature