Journal of Electronic Science and Technology, Volume. 23, Issue 2, 100315(2025)
Efficient feature selection based on Gower distance for breast cancer diagnosis
[1] [1] WHO, Breast Cancer [Online]. Available, https:www.who.intnewsroomfactsheetsdetailbreastcancer, November 2021.
[2] Wang H.-Y., Feng J., Bu Q.-R. et al. Breast mass detection in digital mammogram based on Gestalt psychology. J. Healthc. Eng., 2018, 4015613(2018).
[3] Valvano G., Santini G., Martini N. et al. Convolutional neural networks for the segmentation of microcalcification in mammography imaging. J. Healthc. Eng., 2019, 9360941(2019).
[5] [5] M. Gupta, B. Gupta, A comparative study of breast cancer diagnosis using supervised machine learning techniques, in: Proc. of the 2nd Intl. Conf. on Computing Methodologies Communication, Erode, India, 2018, pp. 997–1002.
[7] [7] P. Dinesh, A.S. Vickram, P. Kalyanasundaram, Medical image prediction f diagnosis of breast cancer disease comparing the machine learning algithms: SVM, KNN, logistic regression, rom fest decision tree to measure accuracy, AIP Conf. Proc. 2853 (1) (2024) 020140.
[8] Putra L.G.R., Marzuki K., Hairani H.. Correlation-based feature selection and Smote-Tomek Link to improve the performance of machine learning methods on cancer disease prediction. Eng. Appl. Sci. Res., 50, 577-583(2023).
[9] Maheswari B.U., Guhan T., Britto C.F., Sheeba A., Rajakumar M.P., Pratyush K.. Performance analysis of classifying the breast cancer images using KNN and naive Bayes classifier. AIP Conf. Proc., 2831, 020012(2023).
[11] Laghmati S., Hamida S., Hicham K., Cherradi B., Tmiri A.. An improved breast cancer disease prediction system using ML and PCA. Multimed. Tools Appl., 83, 33785-33821(2024).
[15] Singh L.K., Khanna M., Singh R.. Efficient feature selection for breast cancer classification using soft computing approach: a novel clinical decision support system. Multimed. Tools Appl., 83, 43223-43276(2024).
[21] [21] S. Ara, A. Das, A. Dey, Malignant benign breast cancer classification using machine learning algithms, in: Proc. of the Intl. Conf. on Artificial Intelligence, Islamabad, Pakistan, 2021, pp. 97–101.
Get Citation
Copy Citation Text
Salwa Shakir Baawi, Mustafa Noaman Kadhim, Dhiah Al-Shammary. Efficient feature selection based on Gower distance for breast cancer diagnosis[J]. Journal of Electronic Science and Technology, 2025, 23(2): 100315
Category:
Received: Dec. 3, 2024
Accepted: Apr. 21, 2025
Published Online: Jun. 16, 2025
The Author Email: Mustafa Noaman Kadhim (mustafa.noaman@qu.edu.iq)