pycyclops 0.1.2

Framework for healthcare ML implementation

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cyclops is a framework for facilitating research and deployment of ML models in the health (or clinical) setting. It provides three high-level features:

• Data Querying and Processing
• Rigorous Evaluation
• Drift Detection toolkit

cyclops also provides a library of use-cases on clinical datasets. The implemented use-cases include:

• Mortality decompensation prediction

🐣 Getting Started

Setup Python virtual environment and install dependencies

The development environment has been tested on python = 3.9.7.

The python virtual environment can be setup using poetry. Hence, make sure it is installed and then run:

poetry install
source $(poetry env info --path)/bin/activate

📚 Documentation

🎓 Notebooks

To use jupyter notebooks, the python virtual environment can be installed and used inside an Ipython kernel. After activating the virtual environment, run:

python3 -m ipykernel install --user --name <name_of_kernel>

Now, you can navigate to the notebook's Kernel tab and set it as <name_of_kernel>.

Tutorial notebooks in tutorials can be useful to view the functionality of the framework.