Novel Pediatric Height Outlier Detection Methodology for Electronic Health Records via Machine Learning With Monotonic Bayesian Additive Regression Trees.
Journal:
Journal of pediatric gastroenterology and nutrition
Published Date:
Jun 1, 2022
Abstract
OBJECTIVE: To create a new methodology that has a single simple rule to identify height outliers in the electronic health records (EHR) of children.