"Breast Cancer Survival Analysis (ML Multimodal Comparative Study)"
Women are more likely than men to get breast cancer (BC), which causes severe illness and fatality. According to latest data, 684,996 women worldwide died from breast cancer in 2020, and there were 2.3 million new cases of the disease. There is still a sizable gap in the early detection of breast cancer, which is essential for better patient outcomes, despite intensive study on its diagnosis and prediction. Based on the Metabric RNA mutation dataset, this study tries to predict the survival of breast cancer patients using classification techniques in machine learning.
Authors
- Pranjul Mishra
Institutions
- Artificial Intelligence in Medicine (Canada) (CA)
Publication Details
- Journal
- Biomedical Journal of Scientific & Technical Research
- Published
- 2024-08-20
- DOI
- https://doi.org/10.26717/bjstr.2024.58.009130
- Primary Topic
- Global Cancer Incidence and Screening
- Type
- article
- Field-Weighted Citation Impact
- 0.00