Knowledge Representation, Structuring and Ontology Development

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Presentation transcript:

Knowledge Representation, Structuring and Ontology Development Arden Homestead June 4-5, 2003

Knowledge-Based Terminology History Theory Principles Reality Other efforts Additional applications Additional research

History DXplain: Juvenile Polyarteritis Nodusm and Kawasaki Disease? Comparing disease descriptions to detect redundancy Detecting redundancy in the COSTAR Directory UMLS CPMC CIS Terminology

Theory Knowledge-based approach should make high-quality terminologies easier to create Knowledge-based approach should make terminologies easier to use Knowledge-based approach should make terminologies easier to maintain

Principles Concept-oriented Multiple hierarchies Semantic relations Inheritance

Reality – The MED Local terminologies National standards UMLS Other projects 77,000 concepts Lab tests and drugs have definitions

Reality – Use of the MED Translating local codes for storage in repository Display spreadsheets for summary reporting Class-based decision support Translation for information retrieval

Problem-Oriented Views of the EMR MED Heart Heart Disease Chest Cardiac Enzyme Chest X ray Intravascular CK Test Creatine Kinase Congestive Heart Failure Angina Chest X ray 2 View Admission :2/14/98 Angina Discharge :1/15/99 CHF Radiology :2/23/99 Chest X Ray Lab :1/1/99 Cardiac Enzyme Test Lab :1/1/99 Cardiac Enzyme Test Radiology :2/23/99 Chest X Ray Radiology :2/28/96 Head CT Lab :12/28/96 Sickle Cell Test Admission :3/14/96 Stroke Admission :2/14/98 Angina Blood Type Test Radiology :2/1/97 Knee X Ray Discharge :1/15/99 CHF Medical Record

Reality – MED Maintenance Semi-automated lab update Automated pharmacy update Manual updates (“ASV”) Some audits done routinely

Other efforts SNOMED Galen UMLS KIF Conceptual graphs

Additional applications Infobutton Manager Cornell neurobiology At CPMC?

Towards a Columbia–Cornell Collaboration Laboratory of Neuroinformatics Weill-Cornell campus Funded by the NIH’s Human Brain Project We seek collaborators to help develop BrainML Data description language for experimental neurobiology XML syntax, XML Schema lexical structure Lexicon trees codify values for neuroscience attributes Built on our BrainMetaL metalanguage Not a single note but a suite

A Sample BrainML Lexicon

Additional research Additional representations (Protégé) Knowledege-based editing Local Updates Visualization Richer semantics