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Please use this identifier to cite or link to this item: http://repository.li.mahidol.ac.th/dspace/handle/123456789/28621
Title: Identification of metabolic syndrome using decision tree analysis
Authors: Apilak Worachartcheewan
Chanin Nantasenamat
Chartchalerm Isarankura-Na-Ayudhya
Phannee Pidetcha
Virapong Prachayasittikul
Mahidol University
Keywords: Biochemistry, Genetics and Molecular Biology;Medicine
Issue Date: 1-Oct-2010
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.
URI: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=77956191875&origin=inward
http://repository.li.mahidol.ac.th/dspace/handle/123456789/28621
ISSN: 01688227
Appears in Collections:Scopus 2006-2010

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