Breast Cancer Survival Analysis (ML Multimodal Comparative Study)

Pranjul Mishra and Madhu Shukla
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Pranjul Mishra: Department of Computer Engineering Artificial Intelligence, Marwadi University, India
Madhu Shukla: Professor & Head of Department CE-AI&BD, Marwadi University, India

Biomedical Journal of Scientific & Technical Research, 2024, vol. 58, issue 2, 50134-50149

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.

Keywords: Journals on Medical Drug and Therapeutics; Journals on Emergency Medicine; Physical Medicine and Rehabilitation; Journals on Infectious Diseases Addiction Science and Clinical Pathology; Open Access Clinical and Medical Journal; Journals on Biomedical Science; List of Open Access Medical Journal; Journals on Biomedical Engineering; Open Access Medical Journal; Biomedical Science Articles; Journal of Scientific and Technical Research (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:abf:journl:v:58:y:2024:i:2:p:50134-50149

DOI: 10.26717/BJSTR.2024.58.009130

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