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

This is the authors' abstract. We don't add key points for this paper.

Continued research in ML-based phenotyping is warranted, with emphasis on characterizing nuanced phenotypes, establishing reporting and evaluation standards, and developing methods to accommodate misclassified phenotypes due to algorithm errors in downstream applications.