An optimal criterion feature selection method for prediction and effective analysis of heart disease

Author:

Prakash S.,Sangeetha K.ORCID,Ramkumar N.

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Software

Reference16 articles.

1. Liang, J., Wang, F., Dang, C., Qian, Y.: A group incremental approach to feature selection applying rough set technique. In: IEEE Transactions on Knowledge and Data Engineering, vol. 26, No. 2, (2014)

2. Xi, J., Niu, Y., Liu, L.: Multivariate Phase Space Reconstruction Based on Combination of Nonlinear Correlation Degree and ICA. School of Automation, Shenyang Aerospace University, Shenyang (2012)

3. Ghumbre, S., Patil, C., Ghatol, A.: Heart disease diagnosis using support vector machine. In: International Conference on Computer Science and Information Technology (ICCSIT-2011) Pattaya (2011)

4. Kumari, M., Godara, S.: Comparative study of data mining classification methods in cardiovascular disease prediction. IJCST 22(2) (2011)

5. Ashari, A., Paryudi, I., Tjoa, A.M.: Performance comparison between Naïve Bayes, decision tree and k-nearest neighbor in searching alternative design in an energy simulation tool. Int. J. Adv. Comput. Sci. Appl. 4(11), 33–39 (2013)

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