Breast Cancer Prediction Using Different Machine Learning Algorithm
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-19-5443-6_37
Reference17 articles.
1. Priyanka, K. S. (2020). A review paper on breast cancer detection using deep learning. In IOP Conference Series: Materials Science and Engineering1st International Conference on Computational Research and Data Analytics (ICCRDA 2020).
2. Vijayakumar, T. (2019). Neural network analysis for tumor investigation and cancer prediction. Journal of Electronics and Informatics, 01(02).
3. Monirujjaman Khan, M., Islam, S., Sarkar, S., Ayaz, F. I., Ananda, M. K., Tazin, T., Albraikan, A. A. & Almalki, F.A. (2022). Machine learning based comparative analysis for breast cancer prediction. Journal of Healthcare Engineering, Hindwi, 2022.
4. Kabiraj, S., Raihan, M., Alvi, N., Afrin, M., Akter, L., Sohagi, S. A., & Podder, E. (2020). Breast cancer risk prediction using XGBoost and random forest algorithm. In 11th ICCCNT, IEEE Explorer, 2020.
5. Assegie, T. A., & Sushma, S. J. (2020). A support vector machine and decision tree-based breast cancer prediction. International Journal of Engineering and Advanced Technology (IJEAT), 9(3). ISSN: 2249-8958.
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