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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Dades bibliogràfiques
Publicat a:ScientificWorldJournal
Autors principals: Worachartcheewan, Apilak, Shoombuatong, Watshara, Pidetcha, Phannee, Nopnithipat, Wuttichai, Prachayasittikul, Virapong, Nantasenamat, Chanin
Format: Artigo
Idioma:Inglês
Publicat: Hindawi Publishing Corporation 2015
Matèries:
Research Article
Accés en línia: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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