Cardio Vascular Disease Prediction Based on PCA-ReliefF Hybrid Feature Selection Method with SVM

Author:

Pushpalatha L.,Durga R.

Publisher

Springer Nature Switzerland

Reference24 articles.

1. Ghodake, S., Ghumbre, S., Deshmukh, S.: Optimized cardiovascular disease detection and features extraction algorithms from ECG data. Int. J. Adv. Comput. Sci. Appl. 11(8), 200–206 (2020)

2. Ghosh, P., et al.: Efficient prediction of cardiovascular disease using machine learning algorithms with relief and LASSO feature selection techniques. IEEE Access 9, 19304–19326 (2021)

3. Alalawi, H.H., Alsuwat, M.S.: Detection of cardiovascular disease using machine learning classification models. Int. J. Eng. Res. Technol. 10(7), 151–157 (2021)

4. Bavani, B., NirmalaSugirthaRajini, S., Josephine, M.S., Prasannakumari, V.: Arrhythmia disease prediction system (ADPS) using machine learning concepts. Math. Stat. Eng. Appl. 71(4), 757–762 (2022)

5. Spencer, R., Thabtah, F., Abdelhamid, N., Thompson, M.: Exploring feature selection and classification methods for predicting heart disease. Digit. Health 6, 1–10 (2020)

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