APA (7th ed.) Citation

Sangaiah, I., & Vincent Antony Kumar, A. (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(Suppl 3), 6899-6906. https://doi.org/10.1007/s10586-018-1702-5

Chicago Style (17th ed.) Citation

Sangaiah, Ilangovan, and A. Vincent Antony Kumar. "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, no. Suppl 3 (2019): 6899-6906. https://doi.org/10.1007/s10586-018-1702-5.

MLA (9th ed.) Citation

Sangaiah, Ilangovan, and A. Vincent Antony Kumar. "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. Suppl 3, 2019, pp. 6899-6906, https://doi.org/10.1007/s10586-018-1702-5.