Publication:
Identification of metabolic syndrome using decision tree analysis

1

Issued Date

2010-10-01

Resource Type

Article

ISSN

01688227

DOI

10.1016/j.diabres.2010.06.009

Other identifier(s)

2-s2.0-77956191875

Rights

Mahidol University

Rights Holder(s)

SCOPUS

Bibliographic Citation

Diabetes Research and Clinical Practice. Vol.90, No.1 (2010)

Suggested Citation

Apilak Worachartcheewan, Chanin Nantasenamat, Chartchalerm Isarankura-Na-Ayudhya, Phannee Pidetcha, Virapong Prachayasittikul Identification of metabolic syndrome using decision tree analysis. Diabetes Research and Clinical Practice. Vol.90, No.1 (2010). doi:10.1016/j.diabres.2010.06.009 Retrieved from: https://repository.li.mahidol.ac.th/handle/123456789/28621

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Title

Identification of metabolic syndrome using decision tree analysis

Author(s)

Apilak Worachartcheewan
 Chanin Nantasenamat
 Chartchalerm Isarankura-Na-Ayudhya
 Phannee Pidetcha
 Virapong Prachayasittikul

Other Contributor(s)

Mahidol University

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.

Keyword(s)

Biochemistry, Genetics and Molecular Biology
 Medicine

Availability

URI

https://repository.li.mahidol.ac.th/handle/123456789/28621

Collections

Scopus 2006-2010