| Name | opentiva JSON |
| Version |
1.1.2
JSON |
| download |
| home_page | |
| Summary | Simulation of target controlled infusions usingpharmacokinetic and pharmacodynamic models. |
| upload_time | 2023-08-22 11:22:40 |
| maintainer | |
| docs_url | None |
| author | James Selby |
| requires_python | |
| license | LICENSE |
| keywords |
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
numpy
scipy
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
OPENTIVA
========
opentiva is a free and open-source python module that simulates target
controlled infusions by using mathematical models relating to the
pharmacokinetic and pharmacodynamic compartment models of drugs used in
anaesthetic practice.
Usage examples can be found in the examples directory.
Example web app using the module can be found at
`opentiva.com <https://opentiva.com>`_
Full documentation can be found `here <https://opentiva.readthedocs.io>`_
Features
--------
- Plasma and effect site targeting
- One, two and three compartment modelling
- Built in Pk/Pd models from a range of drugs
- Tpeak ke0 calcuation
- User defined infusions
- Optional k20 elimination in two compartment modelling
- Customize a range of properties relating to the targetting and maintenance
methods
Installation
------------
Install opentiva by running:
pip install opentiva
Contribute
----------
- Issue Tracker: `github.com/opentiva/opentiva/issues <https://github.com/opentiva/opentiva/issues>`_
- Source Code: `github.com/opentiva/opentiva <https://github.com/opentiva/opentiva>`_
Support
-------
If you are having issues, please let us know via github or
opentiva@jpselby.co.uk.
Donate
------
Support opentiva by donating to:
- `Buy me a coffee <https://www.buymeacoffee.com/opentiva>`_
Disclaimer
----------
opentiva is for informational, research and educational purposes only.
The pharmacokinetic/ pharmacodynamics are all obtained from medical
literature and infusions resulting from these can vary widely.
The user assumes all risks from the use of this application for clinical
purposes.
License
-------
The project is licensed under the MIT license.
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