Table of Contents Author Guidelines Submit a Manuscript
Computational and Mathematical Methods in Medicine
Volume 2016, Article ID 3016245, 7 pages
http://dx.doi.org/10.1155/2016/3016245
Research Article

Development of Health Parameter Model for Risk Prediction of CVD Using SVM

1Biosignals Lab, School of Electrical and Computer Engineering, RMIT University, Melbourne, VIC 3001, Australia
2Eastern Health, Melbourne, VIC 3128, Australia
3Centre for Vision Research, Department of Ophthalmology, Westmead Millennium Institute, University of Sydney, Sydney, NSW 2006, Australia
4Department of Public Health, Yamagata University Faculty of Medicine, Yamagata 990-9585, Japan

Received 2 May 2016; Revised 12 July 2016; Accepted 14 July 2016

Academic Editor: Konstantin G. Arbeev

Copyright © 2016 P. Unnikrishnan 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

P. Unnikrishnan, D. K. Kumar, S. Poosapadi Arjunan, H. Kumar, P. Mitchell, and R. Kawasaki, “Development of Health Parameter Model for Risk Prediction of CVD Using SVM,” Computational and Mathematical Methods in Medicine, vol. 2016, Article ID 3016245, 7 pages, 2016. https://doi.org/10.1155/2016/3016245.