Review of Machine Learning Algorithms for Breast Cancer Diagnosis
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-0844-4_17
Reference23 articles.
1. Agarap, A.F.M.: On breast cancer detection: an application of machine learning algorithms on the Wisconsin diagnostic dataset. In: Proceedings of the 2nd International Conference on Machine Learning and Soft Computing, ICMLSC 2018, pp. 5–9. Association for Computing Machinery, New York (2018)
2. Ak, M.F.: A comparative analysis of breast cancer detection and diagnosis using data visualization and machine learning applications. In: Healthcare, vol. 8, p. 111. MDPI (2020)
3. Alshayeji, M.H., Ellethy, H., Abed, S., Gupta, R.: Computer-aided detection of breast cancer on the Wisconsin dataset: an artificial neural networks approach. Biomed. Signal Process. Control 71, 103141 (2022)
4. Amrane, M., Oukid, S., Gagaoua, I., Ensari, T.: Breast cancer classification using machine learning. In: 2018 Electric Electronics, Computer Science, Biomedical Engineerings’ Meeting (EBBT), pp. 1–4. IEEE (2018)
5. Atallah, R., Al-Mousa, A.: Heart disease detection using machine learning majority voting ensemble method. In: 2019 2nd International Conference on new Trends in Computing Sciences (ICTCS), pp. 1–6 (2019). https://doi.org/10.1109/ICTCS.2019.8923053
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