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Diagnosing Coronary Artery Disease via Data Mining Algorithms by Considering Laboratory and Echocardiography Features

Roohallah Alizadehsani 1 , Jafar Habibi 1 , Zahra Alizadeh Sani 2 , * , Hoda Mashayekhi 1 , Reihane Boghrati 1 , Asma Ghandeharioun 1 , Fahime Khozeimeh 3 and Fariba Alizadeh-Sani 3
Authors Information
1 Department of Computer Engineering, Sharif University of Technology, Tehran, IR Iran
2 Rajaie Cardiovascular Medical and Research Center, Tehran University of Medical Science, Tehran, IR Iran
3 Mashhad University of Medical Sciences, Mashhad, IR Iran
Article information
  • Research in Cardiovascular Medicine: August 10, 2013, 2 (3); 133-139
  • Published Online: July 31, 2013
  • Article Type: Research Article
  • Received: February 20, 2013
  • Revised: March 10, 2013
  • Accepted: March 12, 2013
  • DOI: 10.5812/cardiovascmed.10888

To Cite: Alizadehsani R, Habibi J, Alizadeh Sani Z, Mashayekhi H, Boghrati R, et al. Diagnosing Coronary Artery Disease via Data Mining Algorithms by Considering Laboratory and Echocardiography Features, Res Cardiovasc Med. 2013 ;2(3):133-139. doi: 10.5812/cardiovascmed.10888.

Abstract
Copyright: Copyright © 0, Research in Cardiovascular Medicine. .
1. Background
2. Objectives
3. Patients and Methods
4. Results
5. Discussion
Acknowledgements
Footnotes
References
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