Hybrid Approach for Heart Disease Prediction Using Data Mining Techniques-Reference-Cited by-同舟云学术

Hybrid Approach for Heart Disease Prediction Using Data Mining Techniques

Published:2019 Issue: Volume: Page:447-454
ISSN:2367-4512
Container-title:Advances in Internet, Data and Web Technologies
language:
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Author:

Tarawneh Monther,Embarak Ossama

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-12839-5_41

Reference19 articles.

1. Kumari, M., Godara, S.: Comparative study of data mining classification methods in cardiovascular disease prediction 1 (2011)

2. Purusothaman, G., Krishnakumari, P.: A survey of data mining techniques on risk prediction: heart disease. Indian J. Sci. Technol. 8(12) (2015)

3. Parthiban, L., Subramanian, R.: Intelligent heart disease prediction system using CANFIS and genetic algorithm. Int. J. Biol. Biomed. Med. Sci. 3(3) (2008)

4. Kalaiselvi, C., Nasira, G.: Prediction of heart diseases and cancer in diabetic patients using data mining techniques. Indian J. Sci. Technol. 8(14) (2015)

5. Santhanam, T., Ephzibah, E.: Heart disease prediction using hybrid genetic fuzzy model. Indian J. Sci. Technol. 8(9), 797–803 (2015)

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