Information Journal Paper
APA:
Copy. (2019). Improving medical diagnosis performance using hybrid feature selection via relieff and entropy based genetic search (RF-EGA) approach: application to breast cancer prediction. CLUSTER COMPUTING, 22(3), 6899-6906. SID. https://sid.ir/paper/766099/en
Vancouver:
Copy. Improving medical diagnosis performance using hybrid feature selection via relieff and entropy based genetic search (RF-EGA) approach: application to breast cancer prediction. CLUSTER COMPUTING[Internet]. 2019;22(3):6899-6906. Available from: https://sid.ir/paper/766099/en
IEEE:
Copy, “Improving medical diagnosis performance using hybrid feature selection via relieff and entropy based genetic search (RF-EGA) approach: application to breast cancer prediction,” CLUSTER COMPUTING, vol. 22, no. 3, pp. 6899–6906, 2019, [Online]. Available: https://sid.ir/paper/766099/en