https://github.com/pythonhealthdatascience/stroke_rap_python

Applying the Python DES RAP Template to the Stroke Capacity Planning Model from Monks et al. 2016
https://github.com/pythonhealthdatascience/stroke_rap_python

Last synced: 3 months ago
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Applying the Python DES RAP Template to the Stroke Capacity Planning Model from Monks et al. 2016

• Host: GitHub
• URL: https://github.com/pythonhealthdatascience/stroke_rap_python
• Owner: pythonhealthdatascience
• License: mit
• Created: 2025-03-26T14:21:57.000Z (3 months ago)
• Default Branch: main
• Last Pushed: 2025-03-26T16:06:59.000Z (3 months ago)
• Last Synced: 2025-03-26T16:30:52.768Z (3 months ago)
• Language: Jupyter Notebook
• Size: 60.8 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • Changelog: CHANGELOG.md
  • Contributing: CONTRIBUTING.md
  • License: LICENSE
  • Citation: CITATION.cff

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README

        


# Stroke capacity planning model: python DES RAP

[![python](https://img.shields.io/badge/-Python_Version-blue?logo=python&logoColor=white)](https://www.python.org/)

![licence](https://img.shields.io/badge/Licence-MIT-green.svg?labelColor=gray)

[![ORCID: Heather](https://img.shields.io/badge/ORCID_Amy_Heather-0000--0002--6596--3479-brightgreen)](https://orcid.org/0000-0002-6596-3479)



This repository applies the [Python DES RAP Template](https://github.com/pythonhealthdatascience/rap_template_python_des) to a real-life example:

> Monks T, Worthington D, Allen M, Pitt M, Stein K, James MA. A modelling tool for capacity planning in acute and community stroke services. BMC Health Serv Res. 2016 Sep 29;16(1):530. doi: [10.1186/s12913-016-1789-4](https://doi.org/10.1186/s12913-016-1789-4). PMID: 27688152; PMCID: PMC5043535.




## Installation

TBC




## How to run

TBC




## Run time and machine specification

TBC




## Citation

If you use this template, please cite:

> Heather, A. (2025). Stroke capacity planning model: python DES RAP. GitHub. https://github.com/pythonhealthdatascience/stroke_rap_python.

A `CITATION.cff` file is also provided.