Clinical prediction model by machine learning to determine the results of maternal dietary avoidance in food protein-induced allergic proctocolitis infants.

Journal: Frontiers in pediatrics
Published Date: May 16, 2025

Abstract

OBJECTIVE: The objective of this study was to investigate the factors associated with the results of maternal dietary avoidance in infants diagnosed with Food Protein-Induced Allergic Proctocolitis (FPIAP). Additionally, we aimed to develop a predictive model using machine learning techniques to forecast the results of maternal dietary restrictions.

Authors

  • Jing Li
    Department of Neurosurgery, Tianjin Medical University General Hospital, Tianjin, China.
  • Meng-Yao Zhou
    Department of Pediatric Gastroenterology, Chengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.
  • Yang Li
    Occupation of Chinese Center for Disease Control and Prevention, Beijing, China.
  • Xue Wu
    School of Civil Engineering, Southeast University, Nanjing 210096, China.
  • Xin Li
    Veterinary Diagnostic Center, Shanghai Animal Disease Control Center, Shanghai, China.
  • Xiao-Li Xie
    Department of Pediatric Gastroenterology, Chengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.
  • Li-Jing Xiong
    Department of Pediatric Gastroenterology, Chengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China.

Keywords

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