Risk-assessment-model

Risk Assessment Model Weights

model weights for health risk assessment. These models are used to predict disease risk based on clinical and examination data.

Contents

Archive Structure

After extraction, the archive yields a models/ directory with subdirectories for each risk type, for example:

models/
├── breast_cancer/          # Breast cancer risk prediction
│   ├── models/             # Ensemble models (LightGBM, XGBoost, NeuralNetFastAI)
│   └── utils/data/         # Preprocessed data
├── diabetes/               # Diabetes risk prediction
├── heart_disease/          # Heart disease risk prediction
├── hypertension_risk/      # Hypertension risk prediction
├── lung_cancer/            # Lung cancer risk prediction
└── ...                     # Additional risk assessment models

Usage

1. Extract the archive:

   tar -xzf models.tar.gz
   

2. Place the extracted models/ directory in the path expected by your risk assessment service (e.g., risk_assessment/models/).

3. Configure the model paths in your config files (e.g., risk_assessment/data/config/*.json) to point to the extracted model directories.