Application of fuzzy logic and genetic algorithm in heart disease risk level prediction-Reference-Cited by-同舟云学术

Application of fuzzy logic and genetic algorithm in heart disease risk level prediction

Published:2017-03-02 Issue:S2 Volume:8 Page:1109-1125
ISSN:0975-6809
Container-title:International Journal of System Assurance Engineering and Management
language:en
Short-container-title:Int J Syst Assur Eng Manag

Author:

Sharma Purushottam,Saxena Kanak

Publisher

Springer Science and Business Media LLC

Subject

Strategy and Management,Safety, Risk, Reliability and Quality

Link

http://link.springer.com/article/10.1007/s13198-017-0578-8/fulltext.html

Reference22 articles.

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2. Anooj PK (2012) Clinical decision support system: risk level prediction of heart disease using weighted fuzzy rules. J King Saud Univ Comput Inf Sci 24:27–40

3. Antonio G, Perez R (1998) Completeness and consistency conditions for learning fuzzy rules. Fuzzy Sets Syst 96:37–51

4. Barone JM (1992) Pruning fuzzy decision trees. In: Proceedings of 2nd international conference on fuzzy logic neural networks, Tizuka, Japan, pp 321–324

5. Cordón O, Herrera F (1997) A three-stage evolutionary process for learning descriptive and approximate fuzzy-logic-controller knowledge bases from examples. Int J Approx Reason 17:369–407

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