Novel Pediatric Height Outlier Detection Methodology for Electronic Health Records via Machine Learning With Monotonic Bayesian Additive Regression Trees

Conclusions: We have developed a new reliable, largely automated, outlier detection method which is applicable to the identification of height outliers in the pediatric EHR. This methodology can be applied to assess the veracity of height measurements ensuring reliable indices of body proportionality such as body mass index.
Source: Journal of Pediatric Gastroenterology and Nutrition - Category: Gastroenterology Tags: Original Articles: Nutrition Source Type: research