Metadata-Version: 2.1
Name: teomim
Version: 0.0.151
Summary: Digital twin for generating and analyzing medical histories with deep comorbidity structures
Home-page: https://github.com/zeroknowledgediscovery/teomim
Author: paraknowledge corp
Author-email: research@paraknowledge.ai
License: LICENSE
Download-URL: https://github.com/zeroknowledgediscovery/teomim/archive/0.0.151.tar.gz
Keywords: machine learning,statistics
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Classifier: Topic :: Software Development :: Libraries
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3.7
Requires-Python: >=3.7
Description-Content-Type: text/x-rst
License-File: LICENSE

===============
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(modelpath='./twin_models/FULL_QNET.joblib',
                   gz=False,outfile='out100.csv',num_patients=500)
   P.generate()
   P.evaluate()
   P.quality()



