Multimodal machine learning for analysing multifactorial causes of disease—The case of childhood overweight and obesity in Mexico

Multimodal machine learning for analysing multifactorial causes of disease—The case of childhood overweight and obesity in Mexico

BackgroundMexico has one of the highest global incidences of paediatric overweight and obesity. Public health interventions have shown only moderate success, possibly from relying on knowledge extracted using limited types of statistical data analysis methods.PurposeTo explore if multimodal machine...

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Bibliographic Details
Main Authors:	Rosario Silva Sepulveda, Magnus Boman
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2025-01-01
Series:	Frontiers in Public Health
Subjects:	supervised machine learning unsupervised machine learning multimodal machine learning bias paediatric obesity obesogenic environment
Online Access:	https://www.frontiersin.org/articles/10.3389/fpubh.2024.1369041/full
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