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|Title:||Identification of metabolic syndrome using decision tree analysis|
|Keywords:||Biochemistry, Genetics and Molecular Biology;Medicine|
|Citation:||Diabetes Research and Clinical Practice. Vol.90, No.1 (2010)|
|Abstract:||This study employs decision tree as a decision support system for rapid and automated identification of individuals with metabolic syndrome (MS) among a Thai population. Results demonstrated strong predictivity of the decision tree in classification of individuals with and without MS, displaying an overall accuracy in excess of 99%. © 2010 Elsevier Ireland Ltd.|
|Appears in Collections:||Scopus 2006-2010|
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