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The Scientific World Journal
Volume 2015, Article ID 581501, 10 pages
http://dx.doi.org/10.1155/2015/581501
Research Article

Predicting Metabolic Syndrome Using the Random Forest Method

1Center of Data Mining and Biomedical Informatics, Faculty of Medical Technology, Mahidol University, Bangkok 10700, Thailand
2Department of Clinical Chemistry, Faculty of Medical Technology, Mahidol University, Bangkok 10700, Thailand
3Excellence Service Center for Medical Technology and Quality Improvement, Faculty of Medical Technology, Mahidol University, Bangkok 10700, Thailand
4Department of Clinical Microbiology and Applied Technology, Faculty of Medical Technology, Mahidol University, Bangkok 10700, Thailand

Received 25 February 2015; Revised 4 June 2015; Accepted 7 June 2015

Academic Editor: Naval Vikram

Copyright © 2015 Apilak Worachartcheewan et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Apilak Worachartcheewan, Watshara Shoombuatong, Phannee Pidetcha, Wuttichai Nopnithipat, Virapong Prachayasittikul, and Chanin Nantasenamat, “Predicting Metabolic Syndrome Using the Random Forest Method,” The Scientific World Journal, vol. 2015, Article ID 581501, 10 pages, 2015. https://doi.org/10.1155/2015/581501.