Liver Cirrhosis Stage Detection - Flask App

A simple Flask web application for predicting liver cirrhosis stages using a pre-trained machine learning model.

Quick Start

1. Install dependencies:

   pip install -r requirements.txt

2. Run the Flask app:

   python app.py

3. Access the app:

   • Open your browser and go to: http://localhost:5000
   • Fill in the patient data and click "Predict Stage"

API Usage

You can also use the JSON API endpoint:

curl -X POST http://localhost:5000/api/predict \
  -H "Content-Type: application/json" \
  -d '{
    "Prothrombin": 10.6,
    "Platelets": 251.0,
    "Albumin": 3.5,
    "Age_years": 50.7,
    "Bilirubin": 1.3,
    "Sex": "M",
    "Drug": "D-penicil"
  }'

Features

• Simple web form for manual input
• JSON API for programmatic access
• Real-time predictions using pre-trained model
• Probability scores for each stage
• Clean, responsive UI

Project Structure

• app.py - Main Flask application
• models/ - Pre-trained model and preprocessor
• src/ - Original ML scripts (training, preprocessing, etc.)
• data/ - Training datasets