Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
2797491 | Diabetes Research and Clinical Practice | 2010 | 4 Pages |
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%.
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Authors
Apilak Worachartcheewan, Chanin Nantasenamat, Chartchalerm Isarankura-Na-Ayudhya, Phannee Pidetcha, Virapong Prachayasittikul,