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This paper is in the following e-collection/theme issue:

Web-based and Mobile Health Interventions (5705) Obesity and Nutrition as Public Health Problem (572) Machine Learning (3026) Gastroenterology and Hepatology (195) Artificial Intelligence (4512) New Diagnostic Tools and Instruments for Pediatrics (64)

Published on in Vol 28 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/94775, first published .
Child with thermometer and scarf, cared for by an adult.

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

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

Authors of this article:

Senlong Hou1 Author Orcid Image ;   Jiyu Jiang1 Author Orcid Image ;   Xue Li1 Author Orcid Image ;   Mingze Yang1 Author Orcid Image ;   Qilin Chen1 Author Orcid Image ;   Xueyan Ma2 Author Orcid Image ;   Xiaohong Gu2 Author Orcid Image
Article Authors Cited by Tweetations (1) Metrics

Senlong Hou   1 , MSc ;   Jiyu Jiang   1 , MSc ;   Xue Li   1 , BSc ;   Mingze Yang   1 , MSc ;   Qilin Chen   1 , BSc ;   Xueyan Ma   2 , MD ;   Xiaohong Gu   2 , MSc

1 School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, Beijing, China

2 Institute of Epidemic Diseases, School of Traditional Chinese Medicine, Beijing University of Chinese Medicine, Beijing, China

Corresponding Author:

  • Xiaohong Gu, MSc
  • Institute of Epidemic Diseases
  • School of Traditional Chinese Medicine
  • Beijing University of Chinese Medicine
  • 11 Beisanhuan East Road, Chaoyang District
  • Beijing
  • China
  • Phone: 86 13041223657
  • Email: guxiaohong1962@163.com