PAS

PAS: a Python Anesthesia Simulator for drug control - Published in JOSS (2023)

https://github.com/bobaubouin/python_anesthesia_simulator

Science Score: 95.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
    Found 4 DOI reference(s) in README and JOSS metadata
  • Academic publication links
    Links to: joss.theoj.org
  • Committers with academic emails
    1 of 3 committers (33.3%) from academic institutions
  • Institutional organization owner
  • JOSS paper metadata
    Published in Journal of Open Source Software

Keywords

anesthesia drug-dosage simulation
Last synced: 4 months ago · JSON representation

Repository

Simulate the effect of drugs during total intrevenous anesthesia

Basic Info
  • Host: GitHub
  • Owner: BobAubouin
  • License: gpl-3.0
  • Language: Python
  • Default Branch: main
  • Homepage:
  • Size: 16.5 MB
Statistics
  • Stars: 8
  • Watchers: 1
  • Forks: 3
  • Open Issues: 8
  • Releases: 3
Topics
anesthesia drug-dosage simulation
Created about 3 years ago · Last pushed 8 months ago
Metadata Files
Readme License

README.md

status Documentation Status GitHub last commit

PythonAnesthesiaSimulator

:rotatinglight: This repository is no more maintained, please refer to the version hosted here :rotatinglight:

The Python Anesthesia Simulator (PAS) models the effect of drugs on physiological variables during total intravenous anesthesia. It is particularly dedicated to the control community, to be used as a benchmark for the design of multidrug controllers. The available drugs are Propofol, Remifentanil, and Norepinephrine, the outputs are the Bispectral index (BIS), Mean Arterial Pressure (MAP), Cardiac Output (CO), and Tolerance of Laryngoscopy (TOL). PAS includes different well-known models along with their uncertainties to simulate inter-patient variability. Blood loss can also be simulated to assess the controller's performance in a shock scenario. Finally, PAS includes standard disturbance profiles and metrics computation to facilitate the evaluation of the controller's performances.

Installation

Use pip to install the package:

python pip install python-anesthesia-simulator

The package can be imported in your python script with:

python import python_anesthesia_simulator as pas

Citation

To cite PAS in your work, cite this paper:

Aubouin-Pairault et al., (2023). PAS: a Python Anesthesia Simulator for drug control. Journal of Open Source Software, 8(88), 5480, https://doi.org/10.21105/joss.05480

Guidelines

  • To report a bug or request a feature please open an issue.
  • To contribute, you can fork the repository and ask for a pull request.

If you want to contact me for any reason, I'm available by mail.

Structure

.
├─── src
|   ├─── python_anesthesia_simulator           # Simulator library + metrics function
|
├── paper              # markdown paper for JOSS submition
|
├── tests              # files for testing the package
|
├── docs               # files for generating the docs
| 
├── LICENSE
├── pyproject.toml      # packaging file
├── requirements.txt
├── README.md
└── .gitignore          

License

GNU General Public License 3.0

Project status

Published in the journal of Open Source Software!

Author

Bob Aubouin--Paitault

Owner

  • Name: Bob Aubouin--Pairault
  • Login: BobAubouin
  • Kind: user
  • Location: Grenoble
  • Company: Gipsa-lab

PhD Student at Gipsa-Lab on the subject "Data-based anesthesia process modelling for online monitoring and prediction"

JOSS Publication

PAS: a Python Anesthesia Simulator for drug control
Published
August 14, 2023
Volume 8, Issue 88, Page 5480
Authors
Bob Aubouin-Pairault ORCID
Univ. Grenoble Alpes, CNRS, Grenoble INP, GIPSA-lab, 38000 Grenoble, France, Univ. Grenoble Alpes, CNRS, Grenoble INP, VERIMAG, 38000 Grenoble, France
Mirko Fiacchini ORCID
Univ. Grenoble Alpes, CNRS, Grenoble INP, GIPSA-lab, 38000 Grenoble, France
Thao Dang ORCID
Univ. Grenoble Alpes, CNRS, Grenoble INP, VERIMAG, 38000 Grenoble, France
Editor
Antonia Mey ORCID
Tags
Anesthesia Drug Control Drug effect modelling Test pipeline

GitHub Events

Total
  • Issues event: 1
  • Watch event: 3
  • Push event: 9
  • Fork event: 1
Last Year
  • Issues event: 1
  • Watch event: 3
  • Push event: 9
  • Fork event: 1

Committers

Last synced: 5 months ago

All Time
  • Total Commits: 177
  • Total Committers: 3
  • Avg Commits per committer: 59.0
  • Development Distribution Score (DDS): 0.497
Past Year
  • Commits: 13
  • Committers: 1
  • Avg Commits per committer: 13.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Bob Aubouin b****n@t****m 89
Bob Aubouin b****t@u****r 87
Kevin Mattheus Moerman K****n 1
Committer Domains (Top 20 + Academic)

Issues and Pull Requests

Last synced: 4 months ago

All Time
  • Total issues: 24
  • Total pull requests: 1
  • Average time to close issues: 19 days
  • Average time to close pull requests: 13 minutes
  • Total issue authors: 3
  • Total pull request authors: 1
  • Average comments per issue: 0.75
  • Average comments per pull request: 0.0
  • Merged pull requests: 1
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 1
  • Pull requests: 0
  • Average time to close issues: 2 months
  • Average time to close pull requests: N/A
  • Issue authors: 1
  • Pull request authors: 0
  • Average comments per issue: 0.0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • BobAubouin (21)
  • JHartzer (1)
  • sage3org (1)
Pull Request Authors
  • Kevin-Mattheus-Moerman (1)
Top Labels
Issue Labels
enhancement (13) invalid (3) bug (3) documentation (1)
Pull Request Labels

Packages

  • Total packages: 1
  • Total downloads:
    • pypi 35 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 1
  • Total maintainers: 1
pypi.org: python-anesthesia-simulator

Anesthesia simulator: modellize the effect of drugs (Propofol, Remifentanil, Norepinephrine) during general anesthesia. Specially build for control design.

  • Versions: 1
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 35 Last month
Rankings
Dependent packages count: 9.5%
Average: 31.6%
Dependent repos count: 53.7%
Maintainers (1)
Last synced: 4 months ago

Dependencies

.github/workflows/draft-pdf.yml actions
  • actions/checkout v3 composite
  • actions/upload-artifact v1 composite
  • openjournals/openjournals-draft-action master composite
docs/requirements.txt pypi
  • bokeh ==3.2.0
  • casadi ==3.6.3
  • control ==0.9.4
  • matplotlib ==3.7.1
  • nbsphinx *
  • numpy ==1.25.0
  • numpydoc *
  • pandas ==1.4.3
  • pyswarm ==0.6
  • sphinx_rtd_theme *
pyproject.toml pypi
  • casadi ==3.6.3
  • control ==0.9.4
  • matplotlib ==3.7.1
  • numpy ==1.25.0
  • pandas ==1.4.3
requirements.txt pypi
  • casadi ==3.6.3
  • control ==0.9.4
  • matplotlib ==3.7.1
  • numpy ==1.25.0
  • pandas ==1.4.3