Metadata-Version: 1.1
Name: PyMedTermino
Version: 0.3.1
Summary: Medical Terminologies for Python: SNOMED CT, ICD10, MedDRA, CDF, UMLS and VCM icons
Home-page: http://www.lesfleursdunormal.fr/static/informatique/pymedtermino/index_en.html
Author: Lamy Jean-Baptiste (Jiba)
Author-email: <jean-baptiste.lamy *@* univ-paris13 *.* fr>
License: LGPLv3+
Description: PyMedTermino
        ============
        
        PyMedTermino (Medical Terminologies for Python) is a Python module for
        easy access to the main medical terminologies in Python. The following terminologies are available: SNOMED CT, ICD10, MedDRA, CDF, UMLS, VCM
        icons (an iconic terminology developped at Paris 13 University).
        
        PyMedTermino has been created at the LIMICS reseach lab,
        University Paris 13, Sorbonne Paris Cité, INSERM UMRS 1142, Paris 6 University, by
        Jean-Baptiste Lamy. PyMedTermino is available under the GNU LGPL licence.
        
        In case of trouble, please contact Jean-Baptiste Lamy <jean-baptiste.lamy *@* univ-paris13 *.* fr>
        
        ::
        
          LIMICS
          University Paris 13, Sorbonne Paris Cité
          Bureau 149
          74 rue Marcel Cachin
          93017 BOBIGNY
          FRANCE
        
        
        What can I do with PyMedTermino?
        --------------------------------
        
          >>> SNOMEDCT.search("tachycardia*")
          [SNOMEDCT[3424008]  # Tachycardia (finding)
          , SNOMEDCT[4006006]  # Fetal tachycardia affecting management of mother (disorder)
          , SNOMEDCT[6456007]  # Supraventricular tachycardia (disorder)
          ...]
          >>> SNOMEDCT[3424008].parents
          [SNOMEDCT[301113001]  # Finding of heart rate (finding)
          ]
          >>> SNOMEDCT[3424008].children
          [SNOMEDCT[11092001]  # Sinus tachycardia (finding)
          , SNOMEDCT[278086000]  # Baseline tachycardia (finding)
          , SNOMEDCT[162992001]  # On examination - pulse rate tachycardia (finding)
          ...]
          >>> list(SNOMEDCT[3424008].ancestors_no_double())
          [SNOMEDCT[301113001]  # Finding of heart rate (finding)
          , SNOMEDCT[106066004]  # Cardiac rhythm AND/OR rate finding (finding)
          , SNOMEDCT[250171008]  # Clinical history and observation findings (finding)
          , SNOMEDCT[404684003]  # Clinical finding (finding)
          , SNOMEDCT[138875005]  # SNOMED CT Concept (SNOMED RT+CTV3)
          ...]
          >>> SNOMEDCT[3424008].relations
          set(['INVERSE_has_definitional_manifestation', 'finding_site', 'interprets', 'has_interpretation', 'INVERSE_associated_with'])
          >>> SNOMEDCT[3424008].finding_site
          [SNOMEDCT[24964005]  # Cardiac conducting system structure (body structure)
          ]
          >>> SNOMEDCT[3424008] >> VCM   # Maps the SNOMED CT concept to VCM icon
          Concepts([
            VCM[u"current--hyper--heart_rhythm"]  # 
          ])
        
        PyMedTermino can also be used without Python, just for converting SNOMED CT and ICD10 XML data into SQL databases.
        
        
        Links
        -----
        
        PyMedTermino on BitBucket (development repository): https://bitbucket.org/jibalamy/pymedtermino
        
        PyMedTermino on PyPI (Python Package Index, stable release): https://pypi.python.org/pypi/PyMedTermino
        
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Healthcare Industry
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: GNU Lesser General Public License v3 or later (LGPLv3+)
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 2
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Scientific/Engineering :: Medical Science Apps.
Classifier: Topic :: Software Development :: Libraries :: Python Modules
