Machine Learning Techniques for Heart Disease Datasets-Reference-Cited by-同舟云学术

Machine Learning Techniques for Heart Disease Datasets

Published:2019 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2019 11th International Conference on Machine Learning and Computing - ICMLC '19
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Author:

Khan Younas¹,Qamar Usman¹,Yousaf Nazish²,Khan Aimal¹

Affiliation:

1. Department of Computer and Software Engineering, College of Electrical and Mechanical Engineering, National University of Sciences and Technology, Islamabad, Pakistan

2. Department of Computer and Software Engineering, College of Electrical and Mechanical Engineering, National University of Sciences and Technology, Islamabad, Pakistan and Department of Computer Sciences, University of Wah, Wah Cantt, Pakistan

Funder

National University of Sciences and Technology

Publisher

ACM Press

Reference40 articles.

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2. Davari, D. A. et al. 2017. Automated diagnosis of coronary artery disease (CAD) patients using optimized SVM. Computer Methods and Programs in Biomedicine. 138, (2017), 117--126.

3. Arabasadi, Z. et al. 2017. Computer aided decision making for heart disease detection using hybrid neural network-Genetic algorithm. Computer Methods and Programs in Biomedicine. 141, (2017), 19--26.

4. Tayefi, M. et al. 2017. hs-CRP is strongly associated with coronary heart disease (CHD): A data mining approach using decision tree algorithm. Computer Methods and Programs in Biomedicine. 141, (2017), 105--109.

5. Boon, K. et al. 2018. Paroxysmal atrial fibrillation prediction based on HRV analysis and non-dominated sorting genetic algorithm III. Computer Methods and Programs in Biomedicine. 153, (2018), 171--184.

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