Predicting metabolic syndrome using decision tree and support vector machine methods

BACKGROUND: Metabolic syndrome which underlies the increased prevalence of cardiovascular disease and Type 2 diabetes is considered as a group of metabolic abnormalities including central obesity, hypertriglyceridemia, glucose intolerance, hypertension, and dyslipidemia. Recently, artificial intelli...

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Detalles Bibliográficos
Autores principales: Karimi-Alavijeh, Farzaneh, Jalili, Saeed, Sadeghi, Masoumeh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Isfahan Cardiovascular Research Center, Isfahan University of Medical Sciences 2016
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5055373/
https://www.ncbi.nlm.nih.gov/pubmed/27752272

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5055373/
https://www.ncbi.nlm.nih.gov/pubmed/27752272

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