Software

All work is performed using Free and Open Source Software in Python (v. 3.8.5, www.python.org) with the following packages:

• NumPy (v. 1.19.2): For general mathematical computation. pypi.org/project/numpy/

• Pandas (v. 1.2.0): For general data manipulation. pypi.org/project/pandas/

• MatPlotLib (v. 3.3.2): For visualisation. pypi.org/project/matplotlib/

• Seriate (v. 1.1.2): For sequencing (used when looking at distance in decision-making between hospitals)

• Scikit-Learn (v. 0.23.2): General machine learning utilities and methods. pypi.org/project/scikit-learn/

• TensorFlow (including Keras) (v. 2.2.0): For neural networks. pypi.org/project/tensorflow/

• Jupyter Lab (v. 2.2.6): Mixed code and markdown environment for writing and running code. pypi.org/project/jupyterlab/

• Jupyter Book (v. 0.10.1): For production of this on-line book of project code and results. pypi.org/project/jupyter-book/

• Shap (v. 0.40.0): A model-agnostic method for estimating the contribution of features to a prediction. https://pypi.org/project/shap/