Development of a Metabolic Syndrome Classification and Prediction Model for Koreans Using Deep Learning Technology: The Korea National Health and Nutrition Examination Survey (KNHANES) (2013–2018)

The prevalence of metabolic syndrome (MetS) and its cost are increasing due to lifestyle changes and aging. This study aimed to develop a deep neural network model for prediction and classification of MetS according to nutrient intake and other MetS-related factors. This study included 17,848 indivi...

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Detalles Bibliográficos
Autores principales: Kim, Hyerim, Heo, Ji Hye, Lim, Dong Hoon, Kim, Yoona
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Society of Clinical Nutrition 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10193438/
https://www.ncbi.nlm.nih.gov/pubmed/37214780
http://dx.doi.org/10.7762/cnr.2023.12.2.138

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10193438/
https://www.ncbi.nlm.nih.gov/pubmed/37214780
http://dx.doi.org/10.7762/cnr.2023.12.2.138

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