Analysis of Lethal Factors in Patients with Breast Cancer

Authors

  • Jiayu Kong

DOI:

https://doi.org/10.54097/ect52659

Keywords:

Breast cancer; medical technology; collinearity test; binary logic regression.

Abstract

Breast cancer is a common malignant tumor in women. The relatively early age for the occurrence of breast cancer is generally 20 years old. The largest number of people are between 45 and 50 years old. Breast cancer is the most significant female killer. China's breast cancer cases occupy 30% of the world's total amount, showing an increasing trend nowadays. To inhibit the increase in the mortality rate of breast cancer, it is particularly urgent to explore the lethal factors of breast cancer. In this paper, the author uses the collinearity test to eliminate the closely related variables in the independent variables. Then, the author uses the binary logic regression method to obtain the relationship coefficient between each factor and breast cancer death. Finally, the author finds that the main factors of breast cancer death are age, T stage, N stage, differentiate, Estrogen Status, and Survival Months. This article provides new ideas for breast cancer prevention and treatment, hopes that breast cancer patients can prolong their lifespan, and hopes to contribute to breast cancer research worldwide.

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References

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Published

24-12-2024

How to Cite

Kong, J. (2024). Analysis of Lethal Factors in Patients with Breast Cancer. Highlights in Business, Economics and Management, 45, 435-439. https://doi.org/10.54097/ect52659