Predicting Metabolic Syndrome Using the Random Forest Method

Aims. This study proposes a computational method for determining the prevalence of metabolic syndrome (MS) and to predict its occurrence using the National Cholesterol Education Program Adult Treatment Panel III (NCEP ATP III) criteria. The Random Forest (RF) method is also applied to identify signi...

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Detalles Bibliográficos
Autores principales: Worachartcheewan, Apilak, Shoombuatong, Watshara, Pidetcha, Phannee, Nopnithipat, Wuttichai, Prachayasittikul, Virapong, Nantasenamat, Chanin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2015
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4531182/
https://www.ncbi.nlm.nih.gov/pubmed/26290899
http://dx.doi.org/10.1155/2015/581501

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4531182/
https://www.ncbi.nlm.nih.gov/pubmed/26290899
http://dx.doi.org/10.1155/2015/581501

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