teomim

Name	teomim JSON
Version	0.0.166 JSON
	download
home_page	https://github.com/zeroknowledgediscovery/teomim
Summary	Digital twin for generating and analyzing medical histories with deep comorbidity structures
upload_time	2024-06-02 07:31:15
maintainer	None
docs_url	None
author	paraknowledge corp
requires_python	>=3.7
license	LICENSE
keywords	machine learning statistics
VCS
bugtrack_url
requirements	No requirements were recorded.
Travis-CI	No Travis.
coveralls test coverage	No coveralls.

            ===============
zedstat
===============

.. image:: https://paraknowledge.ai/logo/teomimlogo.png
   :height: 150px
   :align: center 

.. image:: https://zenodo.org/badge/529991779.svg
   :target: https://zenodo.org/badge/latestdoi/529991779

.. class:: no-web no-pdf

:Author: Paraknowledge Corp <research.paraknowledge.ai>
:Description: Digital twin for generating medical histories 
:Documentation: https://zeroknowledgediscovery.github.io/teomim/
:Example: https://github.com/zeroknowledgediscovery/teomim/blob/main/examples/example.ipynb
		
**Usage:**

.. code-block::

   from teomim import teomim
   P=teomim(outfile='out100.csv',num_patients=500)
   P.set_modelpath('adrd')
   P.generate()
   P.evaluate()
   P.quality()


            

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