Pipelines for data preparation, model development, and model evaluation for prediction of undesirable cancer events (i.e. symptom deterioration, emergency department visits, etc).
Please see ml4oncology/make-clinical-dataset.
git clone https://github.com/ml4oncology/PredUCE
pip install -e ".[dev]"
# optional
pre-commit install
nbstripout --install --keep-outputpython <project folder>/scripts/run.py├── acu <- Acute care use
│ ├── notebooks <- Jupyter notebooks
│ ├── scripts <- Python scripts
│ └── src <- Python package where the main functionality goes
├── symp <- Symptom deterioration
│ ├── notebooks
│ ├── scripts
│ └── src
├── shared <- Shared modules between different projects
├── pyproject.toml <- Build configuration
├── .env <- Environment variables (i.e. personal keys)