NCBI PubMed Central
open access
External validation and application of machine learning models for obesity in Chinese children and adolescents per Chinese and WHO growth standards.
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Health Interventions For The Prevention Of Obesity In Egyptian Children#966734
- Ethnic and Social Health Inequalities in Body Mass Index Trajectories through Childhood and Adolescence: A Longitudinal Population-Based Study in Leicestershire UK#424647
- Multifactorial nutritional and metabolic risk profiles for behavioral outcomes in Chinese children: a cross-sectional study at a Health Management Center using explainable machine learning and principal component analysis.#1329813
- Predicting poor health-related quality of life among Chinese adolescents using explainable machine learning: the role of school adjustment, family context, and lifestyle factors.#465329
- Challenge! Adolescent Obesity Prevention#1281791
Record · ID 1404348
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive