Publication: Identification of metabolic syndrome using decision tree analysis
| dc.contributor.author | Apilak Worachartcheewan | en_US |
| dc.contributor.author | Chanin Nantasenamat | en_US |
| dc.contributor.author | Chartchalerm Isarankura-Na-Ayudhya | en_US |
| dc.contributor.author | Phannee Pidetcha | en_US |
| dc.contributor.author | Virapong Prachayasittikul | en_US |
| dc.contributor.other | Mahidol University | en_US |
| dc.date.accessioned | 2018-09-24T08:42:19Z | |
| dc.date.available | 2018-09-24T08:42:19Z | |
| dc.date.issued | 2010-10-01 | en_US |
| dc.description.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. | en_US |
| dc.identifier.citation | Diabetes Research and Clinical Practice. Vol.90, No.1 (2010) | en_US |
| dc.identifier.doi | 10.1016/j.diabres.2010.06.009 | en_US |
| dc.identifier.issn | 01688227 | en_US |
| dc.identifier.other | 2-s2.0-77956191875 | en_US |
| dc.identifier.uri | https://repository.li.mahidol.ac.th/handle/123456789/28621 | |
| dc.rights | Mahidol University | en_US |
| dc.rights.holder | SCOPUS | en_US |
| dc.source.uri | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=77956191875&origin=inward | en_US |
| dc.subject | Biochemistry, Genetics and Molecular Biology | en_US |
| dc.subject | Medicine | en_US |
| dc.title | Identification of metabolic syndrome using decision tree analysis | en_US |
| dc.type | Article | en_US |
| dspace.entity.type | Publication | |
| mu.datasource.scopus | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=77956191875&origin=inward | en_US |