Development and validation of machine-learning models of diet management for hyperphenylalaninemia: a multicenter retrospective study.
Journal:
BMC medicine
PMID:
39256839
Abstract
BACKGROUND: Assessing dietary phenylalanine (Phe) tolerance is crucial for managing hyperphenylalaninemia (HPA) in children. However, traditionally, adjusting the diet requires significant time from clinicians and parents. This study aims to investigate the development of a machine-learning model that predicts a range of dietary Phe intake tolerance for children with HPA over 10 years following diagnosis.