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

Jeong, Siwoo; Yun, Sung Bum; Park, Soon Yong; Mun, Sungchul

Jeong, Siwoo; Yun, Sung Bum; Park, Soon Yong; Mun, Sungchul.

Afiliación

Jeong S; Convergence Institute of Human Data Technology, Jeonju University, Jeonju, Republic of Korea.
Yun SB; Department of Sports Rehabilitation Medicine, Kyungil University, Gyeongsan, Republic of Korea.
Park SY; Urban Strategy Research Division, Seoul Institute of Technology, Seoul, Republic of Korea.
Mun S; Urban Strategy Research Division, Seoul Institute of Technology, Seoul, Republic of Korea.

Front Public Health ; 11: 1257861, 2023.

Article en En | MEDLINE | ID: mdl-37954048

Asunto(s)

Obesidad; Salud Pública; Humanos; Obesidad/epidemiología; Algoritmos; Encuestas Epidemiológicas; Aprendizaje Automático

Palabras clave

GWLASSO; SHAP; influential factors; machine learning; obesity

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Salud Pública / Obesidad Límite: Humans Idioma: En Revista: Front Public Health Año: 2023 Tipo del documento: Article Pais de publicación: Suiza

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