Author(s)

Wenjing Li ¹, Weihan Wang ²

Affiliation(s)

¹ Software College, Taiyuan University of Technology, Taiyuan, Shanxi, 030000, China
² Maynooth International Engineering College, Fuzhou University, Fuzhou, Fujian, 350112, China

Corresponding Author

Wenjing Li

ABSTRACT

Breast cancer, as the most common cancer in women worldwide, poses a great threat to human life. Therefore, the prediction of benign and malignant breast cancer is particularly important. In this paper, from the perspective of machine learning model, BP neural network model is used to predict the incidence of breast cancer. In the fitting of the neural network, the regression R value is selected as an observation index, and the R value is 0.99126. The fitting degree of the model is good, which proves that the model has better availability. The model can be applied to the prediction of benign and malignant breast cancer in hospitals, and the idea of the model can also be used for the prediction of other diseases.

KEYWORDS

Breast cancer, Disease prediction, BP neural network, machine learning

CITE THIS PAPER

Wenjing Li, Weihan Wang, Research on Prediction of Breast Cancer Based on BP Neural Network. Transactions on Cancer (2023) Vol. 4: 132-138. DOI: http://dx.doi.org/10.23977/tranc.2023.040119.

REFERENCES

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[2] Li A J, OU M Y, Xu Y J, et al. Epidemiological characteristics of female breast cancer in cancer registration areas of Guangdong province in 2017 and its changing trend from 2013 to 2017 [J/OL]. Chin J Cancer: 1-6[2023-10-08].
[3] He J, Wei W Q. 2019 Chinese Cancer Registry Annual Report [M]. Beijing: People's Medical Press, 2021. (in Chinese with English abstract)
[4] Zhang Yacong, Lv Zhangyan, Song Fangfang, et al. Trend of incidence and mortality of breast cancer in China and in the world [J]. Journal of Oncology, 2021, 7(2): 14-20.
[5] Yu Meixia, Dong Gang, Xu Ruxun et al. Precision Time Base Source Calibration and Prediction Model Based on BP Neural Network [J/OL]. China Testing :1-7[2023-10-08].
[6] Zeng Qingyang, Ding Chuheng, Gu Zhanying et al. Oil-tea production prediction model based on BP neural network to build [J]. Journal of economic studies, 2022, 40 (03): 87-95. The DOI: 10.14067 / j.carol carroll nki. 1003-8981.2022.03.009.

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