Ontology highlight
ABSTRACT:
SUBMITTER: Mohtasham F
PROVIDER: S-EPMC11317481 | biostudies-literature | 2024 Aug
REPOSITORIES: biostudies-literature
Mohtasham Farideh F Pourhoseingholi MohamadAmin M Hashemi Nazari Seyed Saeed SS Kavousi Kaveh K Zali Mohammad Reza MR
Scientific reports 20240811 1
In the context of early disease detection, machine learning (ML) has emerged as a vital tool. Feature selection (FS) algorithms play a crucial role in ensuring the accuracy of predictive models by identifying the most influential variables. This study, focusing on a retrospective cohort of 4778 COVID-19 patients from Iran, explores the performance of various FS methods, including filter, embedded, and hybrid approaches, in predicting mortality outcomes. The researchers leveraged 115 routine clin ...[more]