Understanding cross-data dynamics of individual and social/environmental factors through a public health lens: explainable machine learning approaches

Understanding cross-data dynamics of individual and social/environmental factors through a public health lens: explainable machine learning approaches

IntroductionThe rising prevalence of obesity has become a public health concern, requiring efficient and comprehensive prevention strategies.MethodsThis study innovatively investigated the combined influence of individual and social/environmental factors on obesity within the urban landscape of Seou...

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Bibliographic Details
Main Authors: Siwoo Jeong, Sung Bum Yun, Soon Yong Park, Sungchul Mun
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-10-01
Series:Frontiers in Public Health
Subjects:
obesity
machine learning
SHAP
GWLASSO
influential factors
Online Access:https://www.frontiersin.org/articles/10.3389/fpubh.2023.1257861/full

Internet

https://www.frontiersin.org/articles/10.3389/fpubh.2023.1257861/full

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