"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.

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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
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article

"Breast Cancer Survival Analysis (ML Multimodal Comparative Study)"

Pranjul Mishra
Biomedical Journal of Scientific & Technical Research
Global Cancer Incidence and Screening
article

"Breast Cancer Survival Analysis (ML Multimodal Comparative Study)"

Pranjul Mishra
article en

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.

Biomedical Journal of Scientific & Technical ResearchVol. 58(2)
Artificial Intelligence in Medicine (Canada) (CA)
Openalex Percentile: Top 75%
Global Cancer Incidence and Screening
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