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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Detalhes bibliográficos
Publicado no:ScientificWorldJournal
Main Authors: Worachartcheewan, Apilak, Shoombuatong, Watshara, Pidetcha, Phannee, Nopnithipat, Wuttichai, Prachayasittikul, Virapong, Nantasenamat, Chanin
Formato: Artigo
Idioma:Inglês
Publicado em: Hindawi Publishing Corporation 2015
Assuntos:
Research Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC4531182/
https://ncbi.nlm.nih.gov/pubmed/26290899
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2015/581501
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