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

Siyue YangPaul VargheseEllen StephensonKaren TuJessica Gronsbell

Published in: Journal of the American Medical Informatics Association : JAMIA (2022)

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.

Keyphrases

electronic health record
adverse drug
machine learning
high throughput
clinical decision support
artificial intelligence
deep learning
big data
emergency department
patient safety
clinical evaluation