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

Tools, Programs and Algorithms (408) Advanced Data Analytics in eHealth (236) Decision Support for Health Professionals (1637) Electronic Health Records (1377) Applications of AI (343) Pediatrics (300)

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:

Jundan Chen1 Author Orcid Image ;   Zhihe Mao1 Author Orcid Image
Article Authors Cited by (2) Tweetations Metrics

Journals

  1. Chen J, Mao Z. Correction: Comprehensive Pediatric Health Risk Stratification Using an AI-Driven Framework in Children Aged 2 to 8 Years: Design and Validation Study. JMIR Medical Informatics 2026;14:e92491 View
  2. Barbhuiya P, Pathak M. MASLD In Children - A Distinct Phenotype?. Current Obesity Reports 2026;15(1) View