A prediction model for genetic cholestatic disease in infancy using the machine learning approach.

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Bibliographic Details
Title: A prediction model for genetic cholestatic disease in infancy using the machine learning approach.
Authors: Tai CS; Department of Pediatrics, National Taiwan University Children's Hospital, Taipei, Taiwan., Ko SC; Center of Intelligent Healthcare, National Taiwan University Hospital, Taipei, Taiwan., Lee CC; Center of Intelligent Healthcare, National Taiwan University Hospital, Taipei, Taiwan.; Department of Emergency Medicine, National Taiwan University Hospital, Taipei, Taiwan., Yang HR; Department of Pediatrics, National Taiwan University Children's Hospital, Taipei, Taiwan., Lin CR; Department of Pediatrics, National Taiwan University Children's Hospital, Taipei, Taiwan., Choe BH; Department of Pediatrics, Kyungpook National University Children's Hospital, South Korea., Treepongkaruna S; Division of Gastroenterology, Department of Pediatrics, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand., Chongsrisawat V; Division of Gastroenterology and Hepatology, Department of Pediatrics, Faculty of Medicine, Chulalongkorn University and King Chulalongkorn Memorial Hospital, Bangkok, Thailand., Wu CC; Department and Graduate Institute of Medical Education and Bioethics, National Taiwan University College of Medicine, Taipei, Taiwan., Chen HL; Department of Pediatrics, National Taiwan University Children's Hospital, Taipei, Taiwan.; Department and Graduate Institute of Medical Education and Bioethics, National Taiwan University College of Medicine, Taipei, Taiwan.; Hepatitis Research Center, National Taiwan University Hospital, Taipei, Taiwan.
Source: Journal of pediatric gastroenterology and nutrition [J Pediatr Gastroenterol Nutr] 2025 Oct; Vol. 81 (4), pp. 933-942. Date of Electronic Publication: 2025 Jul 30.
Publication Type: Journal Article
Journal Info: Publisher: Wiley Country of Publication: United States NLM ID: 8211545 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1536-4801 (Electronic) Linking ISSN: 02772116 NLM ISO Abbreviation: J Pediatr Gastroenterol Nutr Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1536-4801
DOI:10.1002/jpn3.70166