smb-h/breast-cancer-patterns-association-rule-mining
Breast Cancer Pattern Recognition through Association Rule Mining
This tool helps medical researchers and clinicians analyze breast cancer patient data to uncover hidden patterns and relationships among different factors. By taking in detailed patient records, it identifies combinations of symptoms, risk factors, or diagnoses that frequently occur together, providing insights that can enhance early detection and understanding of the disease. This is for medical professionals and researchers in oncology or public health.
Use this if you need to discover subtle but frequent co-occurrences and relationships within breast cancer patient datasets to inform diagnostics and research.
Not ideal if you need predictive models for individual patient outcomes or require real-time diagnostic support.
Stars
7
Forks
1
Language
Jupyter Notebook
License
BSD-3-Clause
Category
Last pushed
Feb 05, 2026
Commits (30d)
0
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