Exerting Cost-Sensitive and Feature Creation Algorithms for Coronary Artery Disease Diagnosis
Author:
Affiliation:
1. Department of Computer Engineering, Sharif University of Technology, Tehran, Iran
2. Mashhad University of Medical Science, Mashhad, Iran
3. Tehran University of Medical Science, Tehran, Iran
Abstract
Publisher
IGI Global
Reference25 articles.
1. Mining association rules between sets of items in large databases
2. Diagnosis of coronary artery disease using data mining techniques based on symptoms and ecg features.;R.Alizadehsani;European Journal of Scientific Research,2012
3. Alizadehsani, R., Habibi, J., Hosseini, M. J., Mashayekhi, H., Boghrati, R., Ghandeharioun, A. Sani, A. Z. (n.d.). A data mining approach for diagnosis of coronary artery disease. Manuscript submitted for publication.
4. Effects of principle component analysis on assessment of coronary artery diseases using support vector machine
5. A User’s Guide to Support Vector Machines
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