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Cardiovascular Psychiatry and Neurology
Volume 2013 (2013), Article ID 814967, 9 pages
http://dx.doi.org/10.1155/2013/814967
Research Article

Combining Personality Traits with Traditional Risk Factors for Coronary Stenosis: An Artificial Neural Networks Solution in Patients with Computed Tomography Detected Coronary Artery Disease

1University of Bergamo, Piazzale S. Agostino 2, P.O. Box 24129, Bergamo, Italy
2Villa Santa Maria Institute, IV Novembre, P.O. Box 22038, Tavernerio, Italy
3Semeion, Research Centre of Sciences of Communication, Via Sersale 117, P.O. Box 00128, Rome, Italy
4Department of Mathematical and Statistical Sciences, University of Colorado at Denver, P.O. Box 173364, Denver, CO, USA
5School of Electronic and Information Engineering, Beihang University, Xueyuan Road No. 37, Haidian District, Beijing, China
6Division of Cardiology, Cardiocentro Lugano CH-6900, Switzerland
7Center of Research on Psychology in Somatic Diseases, CoRPS, Tilburg University, Warandelaan 2, P.O. Box 90153, 5000 LE Tilburg, The Netherlands

Received 11 April 2013; Accepted 29 August 2013

Academic Editor: Janusz K. Rybakowski

Copyright © 2013 Angelo Compare 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

Angelo Compare, Enzo Grossi, Massimo Buscema, et al., “Combining Personality Traits with Traditional Risk Factors for Coronary Stenosis: An Artificial Neural Networks Solution in Patients with Computed Tomography Detected Coronary Artery Disease,” Cardiovascular Psychiatry and Neurology, vol. 2013, Article ID 814967, 9 pages, 2013. doi:10.1155/2013/814967