Machine Learning Approaches for Electronic Health Records Phenotyping: A Methodical Review

Abstract excerpt

<h4>ABSTRACT</h4> <h4>Objective</h4> Accurate and rapid phenotyping is a prerequisite to leveraging electronic health records (EHRs) 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 respec...

Topics

Open a Topic to create a Post that cites this publication.

• Algorithms
• Biomedical Research
• Electronic Health Records
• Logistic Models
• Machine Learning
• Natural Language Processing
• Phenotype
• Supervised Machine Learning

Identifiers and source

Literature Corpus work

103e6eea-df6d-5871-888e-6d3deb1d7e83

DOI

10.1101/2022.04.23.22274218