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

Tools, Programs and Algorithms (390) Advanced Data Analytics in eHealth (216) Decision Support for Health Professionals (1575) Electronic Health Records (1339) Applications of AI (302) Pediatrics (284)

Published on in Vol 14 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/80163, first published .
Comprehensive Pediatric Health Risk Stratification Using an AI-Driven Framework in Children Aged 2 to 8 Years: Design and Validation Study

Comprehensive Pediatric Health Risk Stratification Using an AI-Driven Framework in Children Aged 2 to 8 Years: Design and Validation Study

Comprehensive Pediatric Health Risk Stratification Using an AI-Driven Framework in Children Aged 2 to 8 Years: Design and Validation Study

Authors of this article:

Zhihe Mao1 Author Orcid Image ;   Jundan Chen1 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Zhihe Mao   1 * , PhD ;   Jundan Chen   1 * , PhD

1 School of Physical Education, Hunan University of Arts and Science, Changde, Hunan, China

*all authors contributed equally

Corresponding Author:

  • Zhihe Mao, PhD
  • School of Physical Education, Hunan University of Arts and Science
  • 3150 Dongting Road
  • Changde, Hunan 415000
  • China
  • Phone: 86 18832584414
  • Fax: 86 88547123
  • Email: lupoedilagjw@outlook.com