Rapid Assessment of COVID-19 Mortality Risk with GASS Classifiers.

ABSTRACT: Risk prediction models are fundamental to effectively triage incoming COVID-19 patients. However, current triaging methods often have poor predictive performance, are based on variables that are expensive to measure, and often lead to hard-to-interpret decisions. We introduce two new classification methods that can predict COVID-19 mortality risk from the automatic analysis of routine clinical variables with high accuracy and interpretability. SVM22-GASS and Clinical-GASS classifiers leverage machine learning methods and clinical expertise, respectively. Both were developed using a derivation cohort of 499 patients from the first wave of the pandemic and were validated with an independent validation cohort of 250 patients from the second pandemic phase. The Clinical-GASS classifier is a th

SUBMITTER: Greco S 

PROVIDER: S-EPMC10045158 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature