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Computational and Mathematical Methods in Medicine
Volume 2014, Article ID 242717, 7 pages
http://dx.doi.org/10.1155/2014/242717
Research Article

Use of CHAID Decision Trees to Formulate Pathways for the Early Detection of Metabolic Syndrome in Young Adults

1School of Nutrition and Dietetics, College of Health Professions, The University of Akron, Akron, OH 44325-6102, USA
2Department of Statistics, College of Arts and Sciences, University of Akron, Akron, OH 44325-1913, USA

Received 21 January 2014; Accepted 16 March 2014; Published 10 April 2014

Academic Editor: Zhenyu Jia

Copyright © 2014 Brian Miller 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

Brian Miller, Mark Fridline, Pei-Yang Liu, and Deborah Marino, “Use of CHAID Decision Trees to Formulate Pathways for the Early Detection of Metabolic Syndrome in Young Adults,” Computational and Mathematical Methods in Medicine, vol. 2014, Article ID 242717, 7 pages, 2014. https://doi.org/10.1155/2014/242717.