Prediction of Heart Disease Using Random Forest and Feature Subset Selection-Reference-Cited by-同舟云学术

Prediction of Heart Disease Using Random Forest and Feature Subset Selection

Published:2015-12-15 Issue: Volume: Page:187-196
ISSN:2194-5357
Container-title:Advances in Intelligent Systems and Computing
language:
Short-container-title:

Author:

Jabbar M. A.,Deekshatulu B. L.,Chandra Priti

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-28031-8_16

Reference13 articles.

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2. Das, R., Turkoglu, I., Sengur, A.: Effective diagnosis of heart disease through network ensembles. Expert Syst. Appl. 36, 7675–7680 (2009)

3. Anooj, P.K.: Clinical decision support system: risk level prediction of heart disease using weighted fuzzy rules. J. King Saud Univ. CIS, 24, 27–40 (2012)

4. Detrano, R., Janosi, A., Stein burn, W., et al.: International application of new probability algorithm for the diagnosis of CAD. Am. J. Cardiol. 64(5), 304–310 (1989)

5. Shouman, M., Turner, T., Stocker, R.: Using decision tree for diagnosing heart disease patients. In: 9th Australian Data Mining Conference, Australia, vol 121. ACM (2011)

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