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metadata
title: Cancer Risk Prediction Model
emoji: 🏥
colorFrom: blue
colorTo: red
sdk: gradio
sdk_version: 3.50.0
app_file: app.py
pinned: false
license: mit

Cancer Risk Prediction Model

This Gradio web application predicts cancer risk levels (Low, Medium, High) based on patient characteristics using a neural network model.

Model Details

The model is a neural network trained on cancer patient data with the following features:

  • Input: 23 patient characteristics
  • Output: Risk classification (Low, Medium, High)
  • Architecture: Multi-layer perceptron

Usage

  1. Adjust the sliders to input patient characteristics
  2. The model will automatically predict the risk level
  3. Example cases are provided for reference

Technical Stack

  • PyTorch: Neural network framework
  • Gradio: Web interface
  • Pandas & NumPy: Data processing
  • Scikit-learn: Data preprocessing

Dataset

The model uses the Cancer Patient Data Sets, which includes various patient characteristics and their corresponding risk levels.

License

This project is licensed under the MIT License.