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

Prevention and Health Promotion (1362) Tools, Programs and Algorithms (376) Machine Learning (2076) Clinical Information and Decision Making (1915) Obesity and Nutrition as Public Health Problem (397) Infant Feeding Education, Lactation & Breastfeeding Support (46) Pregnancy Information, Education and Lifestyle Interventions (400)

Published on in Vol 11 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/69220, first published .
Development of Machine Learning–Based Risk Prediction Models to Predict Rapid Weight Gain in Infants: Analysis of Seven Cohorts

Development of Machine Learning–Based Risk Prediction Models to Predict Rapid Weight Gain in Infants: Analysis of Seven Cohorts

Development of Machine Learning–Based Risk Prediction Models to Predict Rapid Weight Gain in Infants: Analysis of Seven Cohorts

Authors of this article:

Miaobing Zheng1, 2 Author Orcid Image ;   Yuxin Zhang1 Author Orcid Image ;   Rachel A Laws1 Author Orcid Image ;   Peter Vuillermin3 Author Orcid Image ;   Jodie Dodd4 Author Orcid Image ;   Li Ming Wen5 Author Orcid Image ;   Louise A Baur5 Author Orcid Image ;   Rachael Taylor6 Author Orcid Image ;   Rebecca Byrne7 Author Orcid Image ;   Anne-Louise Ponsonby8 Author Orcid Image ;   Kylie D Hesketh1 Author Orcid Image
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