Machine learning approaches for electronic health records phenotyping: a methodical review.

Abstract excerpt

OBJECTIVE: Accurate and rapid phenotyping is a prerequisite to leveraging electronic health records for biomedical research. While early phenotyping relied on rule-based algorithms curated by experts, machine learning (ML) approaches have emerged as an alternative to improve scalability across phenotypes and healthcare settings. This study evaluates ML-based phenotyping with respect to (1) the data sources used,...

Topics

Share this publication in a Topic to start or enrich a Post.

• Share to Algorithms
• Share to Biomedical Research