An interactive GUI that allows users of any skill level to develop biomarkers off wearables data
Developing biomarkers is hard - not only is it required that you have sufficient clinical background to understand the biomarker itself, but you also need the technical chops to be able to analyze data and develop appropriate statistical models. The Digital Biomarker Discovery Pipeline (DBDP) GUI attempts to remedy this by providing an interactive GUI that allows a user of any background to develop digital biomarkers with their own wearables data.
The functions provided are sourced directly from the DBDP - https://github.com/DigitalBiomarkerDiscoveryPipeline/DBDP.
- Clone the repository from main.
- Navigate to the repository in your local terminal.
- Install appropriate dependencies using pip:
pip install -r requirements.txt - Run the app using Python:
python app.py