dyneth02/Breast-Cancer-Prediction-Machine-Learning-App
A comprehensive machine learning application that predicts breast cancer malignancy using cytology measurements. Features an interactive Streamlit web interface with real-time visualizations including radar charts for cell nuclei analysis. Implements logistic regression with data preprocessing pipelines for accurate benign/malignant classification.
This tool helps medical professionals, like oncologists or lab technicians, quickly assess the likelihood of breast cancer. By inputting various cytology measurements from a patient's lab report, it provides an immediate prediction of whether a breast mass is benign or malignant, along with visual comparisons of the measurements. It's designed for use in a clinical or research setting to support diagnostic workflows.
Use this if you need to quickly evaluate cytology measurements for breast masses and get an instant, data-driven prediction of malignancy, complemented by intuitive visual comparisons.
Not ideal if you are a patient seeking a definitive medical diagnosis, as this tool is for professional assistance and not a substitute for a doctor's medical advice.
Stars
9
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Language
Python
License
MIT
Category
Last pushed
Jan 23, 2026
Commits (30d)
0
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