Prediction of Coronary Heart Disease using Machine Learning

Author:

Gonsalves Amanda H.1,Thabtah Fadi1,Mohammad Rami Mustafa A.2,Singh Gurpreet1

Affiliation:

1. Digital Technologies, Manukau Institute of Technology, Manukau, Auckland, New Zealand

2. Department of computer Information systems, College of Computer Science and Information Technology, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia

Publisher

ACM Press

Reference29 articles.

1. Abdelhamid N., Thabtah F., (2014) Associative Classification Approaches: Review and Comparison. Journal of Information and Knowledge Management (JIKM). Vol. 13, No. 3 (2014) 1450027.

2. Abdelhamid N., Ayesh A., Thabtah F. (2012) An Experimental Study of Three Different Rule Ranking Formulas in Associative Classification Mining. Proceedings of the 7th IEEE International Conference for Internet Technology and Secured Transactions (ICITST-2012), pp. (795--800), UK.

3. Apte, C. S. (2012). Improve study of Heart Disease prediction system using Data Mining Classification techniques. International journal of computer application, 47(10), 44--48. doi:10.5120/7228-0076

4. Hadi W., Thabtah F., Mousa S., ALHawari S., Kanaan G., Ababnih J. (2008). A Comprehensive Comparative Study using Vector Space Model with K-Nearest Neighbor on Text Categorization Data. Journal of Applied Sciences, volume 2:1-pp. 12--24. Science Alert.

5. Hall M., Frank E., Holmes G., Pfahringer B., Reutemann P., Witten I. (2009) The WEKA Data Mining Software: An Update; SIGKDD Explorations, Volume 11, Issue 1.

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