GitHub / pythonhealthdatascience 30 projects
pythonhealthdatascience
Projects
pydesrap_mms
Reproducible analytical pipeline (RAP) for Python discrete-event simulation (DES) implementing an M/M/s queueing model.
stars-simpy-example-docs
STARS Project: Example `simpy` model documentation using JupyterBook, GitHub Pages, and STRESS
rdesrap_mms
Reproducible analytical pipeline (RAP) for R discrete-event simulation (DES) implementing an M/M/s queueing model.
pydesrap_stroke
Reproducible analytical pipeline (RAP) for Python discrete-event simulation (DES) implementing the Stroke Capacity Planning Model from Monks et al. 2016.
stars_reproduction_template
Template repository for assessing the computational reproducibility of simulation studies on STARS
stars-reproduce-wood-2021
Assessing the computational reproducibility of Wood et al. 2021 as part of STARS.
stars_wp1_summary
Summary of the eight computational reproducibility assessments conducted as part of STARS Work Package 1. These assessed discrete-event simulation papers with models in Python and R.
rdesrap_stroke
Reproducible analytical pipeline (RAP) for R discrete-event simulation (DES) implementing the Stroke Capacity Planning Model from Monks et al. 2016.
gw4_prize_presentation
Amy Heather's presentation for the GW4 Open Research Prize 2024/25
des_agent
An AI agent that can discovery, run, experiment, and report results from any DES model setup as a MCP server.
stars-reproduce-allen-2020
Test-run of our reproducibility protocol on Allen et al. 2020: "A simulation modelling toolkit for organising outpatient dialysis services during the COVID-19 pandemic"
stars-reproduce-huang-2019
Assessing the computational reproducibility of Huang et al. 2019 as part of STARS.
stars-simpy-jupterlite
A template for Discrete-Event Simulation (DES) repositories that use JupyerLite and xeus-python to enable reproducible environments and models
stars_wp3_summary
Reflections from prospective and retrospective application of the STARS framework
stars-shiny-simmer
WORK IN PROGRESS: An example R shiny interface to a simmer DES model.
stars-treat-simmer-quarto-wasm
WASM deployed implementation of https://github.com/pythonhealthdatascience/stars-treat-simmer using Quarto Live
stars-reproduce-hernandez-2015
Assessing the computational reproducibility of Hernandez et al. 2015 as part of STARS.
stars-reproduce-lim-2020
Assessing the computational reproducibility of Lim et al. 2020 as part of STARS.
stars-reproduce-kim-2021
Assessing the computational reproducibility of Kim et al. 2021 as part of STARS.
llm_simpy_models
The SimPy models and apps generated by LLMs, deployed as a single app.
stars-streamlit-example
STARS Project: deploying a python DES model using streamlit
stars-reproduce-anagnostou-2022
Assessing the computational reproducibility of Anagnostou et al. 2022 as part of STARS.
llm_simpy
Research Compendium for exploring the ability of LLMs to generate SimPy models and streamlit interfaces.
des_rap_book
Step-by-step guide for building Python and R simulation models as part of a reproducible analytical pipeline (RAP).
stars-reproduce-johnson-2021
Assessing the computational reproducibility of Johnson et al. 2021 as part of STARS.
intro-open-sim
An introduction to building open Descrete-Event Simulation (DES) in Python
stars-treat-sim
Implementation of python package for Nelson's (2013) treatment centre model
stars-reproduce-shoaib-2022
Assessing the computational reproducibility of Shoaib and Ramamohan 2022 as part of STARS.