Abstract
Breast cancer is a common disease that affects women's life and health. Survival analysis of breast cancer patients can help doctors and patients understand the prognosis of patients and provide guidance for clinical treatment. In this study, experiments were conducted based on SEER breast cancer patient data, and feature selection was performed first, followed by the construction of prognostic models using four survival analysis methods. the C-Index, BS, and IBS indexes of the RSF model were 0.8535, 0.0853, and 0.0512, respectively, which had the best predictive effect in the prognostic model for breast cancer patients. Based on the SHAP method to analyze the important factors affecting the prognosis of breast cancer patients, the results showed that tumor stage, TNM stage, grade and age have a great impact on the prognosis of breast cancer patients.
Publisher
Darcy & Roy Press Co. Ltd.
Reference18 articles.
1. World Health Organization. Latest global cancer data: Cancer burden rises to 19.3 million new cases and 10.0 million cancer deaths in 2020. [EB/OL]. [2021-12-07]. https://www. iarc. who. int/featured-news/latest-global-cancer-data-cancer-burden-rises-to-19-3-million-new-cases-and-10-0-million-cancer-deaths-in-2020/.
2. Han Y, Wang J, Xu B. Clinicopathological characteristics and prognosis of breast cancer with special histological types: A surveillance, epidemiology, and end results database analysis[J]. Breast, 2020, 54(12): 114-120.
3. Lorona N C, Malone K E, Li C I. Racial/ethnic disparities in risk of breast cancer mortality by molecular subtype and stage at diagnosis[J]. Breast Cancer Research and Treatment, 2021, 190(3): 549-558.
4. Thio Q C B S, Karhade A V, Ogink P T, et al. Can Machine-learning Techniques Be Used for 5-year Survival Prediction of Patients With Chondrosarcoma? [J]. Clinical Orthopaedics and Related Research, 2018, 476(10): 2040-2048.
5. Liu R, Xiao Z S, Hu D X, et al. Cancer-Specific Survival Outcome in Early-Stage Young Breast Cancer: Evidence from the SEER Database Analysis[J]. Frontiers in Endocrinology, 2022, 12(1): 811878.