Breast cancer prediction using machine learning models

Zhiqi Li; Shirui Tian; Tai Ya; Zhenning Yang

doi:10.1117/12.2672652

1 March 2023 Breast cancer prediction using machine learning models

Zhiqi Li, Shirui Tian, Tai Ya, Zhenning Yang

Proceedings Volume 12596, International Conference on Mechatronics Engineering and Artificial Intelligence (MEAI 2022); 1259613 (2023) https://doi.org/10.1117/12.2672652
Event: International Conference on Mechatronics Engineering and Artificial Intelligence (MEAI 2022), 2022, Changsha, China

Abstract

This paper is to predict the presence of recurrence for breast cancer patients by citing data. As a first step we will collect relevant data on breast cancer patients from the internet. Next, we will use decision trees in Scikit-learn to determine if there will be a recurrence of breast cancer in patients who have been cured. Through a series of calculations and predictions, the accuracy of our experimental model finally reaches 0.75 accuracy. These data can help us to accomplish our target prediction well.

Citation Download Citation

Zhiqi Li, Shirui Tian, Tai Ya, and Zhenning Yang "Breast cancer prediction using machine learning models", Proc. SPIE 12596, International Conference on Mechatronics Engineering and Artificial Intelligence (MEAI 2022), 1259613 (1 March 2023); https://doi.org/10.1117/12.2672652

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