BGP_DatasetMerge

Processing and merging several big datasets into a standardized format for blood glucose prediction (BGP) purposes.

Getting Started

Create and activate a virtual environment, and install required dependencies with the commands:

python -m venv venv
source venv/bin/activate
pip install -r requirements.txt

Process Data

Create a folder named unprocessed_data, and place your acquired datasets in there. Open the file process_data.py, go to the bottom of the file, and comment out the lines for parsing datasets that you are not going to process.

Then, run:

python process_data.py

Add derived features like insulin on board or insulin counteraction effects using the CLI commands in add_derived_features.py (temporarily only available on Mac).

To do

• Add a user data file, with information about each subjects insulin type
• Use the specific insulin type in computing derived features like ICE and IOB