An interpretable machine learning model for outpatient referral risk assessment in pediatric biliary atresia after Kasai portoenterostomy
Yanran Zhang, Xingyuan Ke, Jiaying Liu, Qianhui Yang et autres
OBJECTIVES: To develop an interpretable model using routine outpatient data to assist risk stratification and referral assessment in children with biliary atresia (BA) after Kasai portoenterostomy (KPE). METHODS: This multicenter retrospective study included 512 children with type III BA who underwent KPE …
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Journal of Pediatric Gastroenterology and Nutrition