Development and Validation of an Explainable Machine Learning Model to Assess the Prevalence Probability of Gastrointestinal Heat Retention Syndrome in Children: Cross-Sectional Study - Top-Institutions - MDSpire

Development and Validation of an Explainable Machine Learning Model to Assess the Prevalence Probability of Gastrointestinal Heat Retention Syndrome in Children: Cross-Sectional Study

  • By

  • Senlong Hou

  • Jiyu Jiang

  • Xue Li

  • Mingze Yang

  • Qilin Chen

  • Xueyan Ma

  • Xiaohong Gu

  • July 2, 2026

  • 0 min

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Top Institutions in Pediatrics

Brief introduction explaining scope and methodology.

  • #1

    Cincinnati Children’s Hospital Medical Center
    Cincinnati Children’s Hospital Medical Center

    Cincinnati, Ohio

    Key Differentiators

    • Pediatric Gastroenterology
    • Biomedical Informatics

  • #2

    Nationwide Children’s Hospital
    Nationwide Children’s Hospital

    Columbus, Ohio

    Key Differentiators

    • Pediatric Gastroenterology
    • Neurogastroenterology

Original Source(s)

Development and Validation of an Explainable Machine Learning Model to Assess the Prevalence Probability of Gastrointestinal Heat Retention Syndrome in Children: Cross-Sectional Study

  • by Senlong Hou, Jiyu Jiang, Xue Li, Mingze Yang, Qilin Chen, Xueyan Ma, Xiaohong Gu

  • July 2, 2026

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