Benchmarking emergency department prediction models with machine learning and public electronic health records.

ABSTRACT: The demand for emergency department (ED) services is increasing across the globe, particularly during the current COVID-19 pandemic. Clinical triage and risk assessment have become increasingly challenging due to the shortage of medical resources and the strain on hospital infrastructure caused by the pandemic. As a result of the widespread use of electronic health records (EHRs), we now have access to a vast amount of clinical data, which allows us to develop prediction models and decision support systems to address these challenges. To date, there is no widely accepted clinical prediction benchmark related to the ED based on large-scale public EHRs. An open-source benchmark data platform would streamline research workflows by eliminating cumbersome data preprocessing, and facilitate comp

SUBMITTER: Xie F 

PROVIDER: S-EPMC9610299 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature