Predicting Metabolic Syndrome Using the Random Forest Method

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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Bibliographic Details
Main Authors:	Apilak Worachartcheewan, Watshara Shoombuatong, Phannee Pidetcha, Wuttichai Nopnithipat, Virapong Prachayasittikul, Chanin Nantasenamat
Format:	Article
Language:	English
Published:	Wiley 2015-01-01
Series:	The Scientific World Journal
Online Access:	http://dx.doi.org/10.1155/2015/581501
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