Integrated Prediction Model for Early Detection of Alzheimer’s Disease

Effective integration of diverse biomarkers and risk factors for robust prediction of Alzheimer's Dementia.

Contribute

This project uses a Conda environment for dependency management. To install the necessary dependencies, follow these steps:

1. Install Miniconda or Anaconda:
   If you haven't installed Conda yet, download and install Miniconda.

2. Clone the Repository:
   Open your terminal and run:

   git clone https://github.com/lukeblevins/ad-pred
   cd ad-pred

3. Create the Conda Environment:
   Run the following command to create a new environment using the provided environment.yml file:

   conda env create -f environment.yml

4. Activate the Environment:
   Once the environment is created, activate it using:

   conda activate ad_pred

5. Include the Dataset Files: Copy dataset .csv items to ./data/all and ensure their file names correspond to those referenced by datasets.json

6. Additional Guidance:
   Review the additional contributors guide provided in the repository if necessary: Coming Soon

Usage

Once the environment and datasets are set up, you can run the module that corresponds to the data_processing.py script:

python -m src.data_processing

Contributing

Please fork the repository, create a new branch for your feature or bug fix, and submit a pull request. For major changes, please open an issue first and discuss your change.

License

This project is currently closed-source.