Ontology highlight
ABSTRACT: Purpose
Coronavirus disease-2019 (COVID-19) continues to be a global threat and remains a significant cause of hospitalizations. Recent clinical guidelines have supported the use of corticosteroids or remdesivir in the treatment of COVID-19. However, uncertainty remains about which patients are most likely to benefit from treatment with either drug; such knowledge is crucial for avoiding preventable adverse effects, minimizing costs, and effectively allocating resources. This study presents a machine-learning system with the capacity to identify patients in whom treatment with a corticosteroid or remdesivir is associated with improved survival time.Methods
Gradient-boosted decision-tree models used for predicting treatment benefit were trained and tested on data from electr
SUBMITTER: Lam C
PROVIDER: S-EPMC8006198 | biostudies-literature | 2021 May
REPOSITORIES: biostudies-literature