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Breast Cancer Survival Analysis (ML Multimodal Comparative Study)

Author

Listed:
  • Pranjul Mishra

    (Department of Computer Engineering Artificial Intelligence, Marwadi University, India)

  • Madhu Shukla

    (Professor & Head of Department CE-AI&BD, Marwadi University, India)

Abstract

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.

Suggested Citation

  • Pranjul Mishra & Madhu Shukla, 2024. "Breast Cancer Survival Analysis (ML Multimodal Comparative Study)," Biomedical Journal of Scientific & Technical Research, Biomedical Research Network+, LLC, vol. 58(2), pages 50134-50149, August.
    • Handle: RePEc:abf:journl:v:58:y:2024:i:2:p:50134-50149
    DOI: 10.26717/BJSTR.2024.58.009130
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