Hybrid Selection of Breast Cancer Risk Factors in Cuban Patients
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-49552-6_27
Reference31 articles.
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3. Alfian, G., et al.: Predicting breast cancer from risk factors using SVM and extra-trees-based feature selection method. Computers. 11, 136 (2022). https://doi.org/10.3390/computers11090136
4. Huang, Z., Chen, D.: A breast cancer diagnosis method based on VIM feature selection and hierarchical clustering random forest algorithm. IEEE Access 10, 3284–3293 (2022). https://doi.org/10.1109/access.2021.3139595
5. Sachdeva, R.K., Bathla, P., Rani, P., Kukreja, V., Ahuja, R.: A systematic method for breast cancer classification using RFE feature selection. In: 2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE) (2022). https://doi.org/10.1109/icacite53722.2022.9823464
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