This is a batch model using Arthur's v3 API & SDK, using the Medical Expenditure Panel Survey data. We use the raw data files and preprocessing provided by IBM AIF360.
The prediction task is to determine whether an individual will have high utilization of the healthcare system---that is, visit a medical professional 10 or more times---or low utilization.
To run this notebook, you will need the Arthur SDK installed. Contact an Arthur engineer if you are having issues with the installation or with the imports at the top of the notebook.
Create a virtual environment using your favorite environment management tool and install the requirements. As an example,
python3 -m venv env
source env/bin/activate
pip3 install arthurai
pip3 install -r requirements.txt
Note that the requirements.txt file in this directory assumes python versions 3.6-3.8, as these are currently the only supported versions for the arthur SDK.
The notebook FullGuide.ipynb shows an example of onboarding a model and sending data.