Comparative Performance of Machine Learning Models Using Food Intake Frequency Versus Vegetable Intake Data to Predict Problematic Mealtime Behaviour in Japanese Preschool Children
Authors
Division of Preventive Medicine, Clinical Research Institute, National Hospital Organisation NHO Kyoto Medical Centre, Kyoto, Japan
Yaeko Kawaguchi
Division of Preventive Medicine, Clinical Research Institute, National Hospital Organisation NHO Kyoto Medical Centre, Kyoto, Japan
DOI: https://doi.org/10.34763/jmotherandchild.20263001.d-25-00036 | Journal eISSN: 2719-535X | Journal ISSN: 2719-6488
Language: English
Page range: 106 - 115
Submitted on: Sep 10, 2025
Accepted on: Dec 5, 2025
Published on: Jun 8, 2026
Published by: Institute of Mother and Child
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
Keywords:
Related subjects:
© 2026 Naoki Sakane, Yaeko Kawaguchi, Junichiro Somei, Akiko Suganuma, Masayuki Domichi, published by Institute of Mother and Child
This work is licensed under the Creative Commons Attribution 4.0 License.