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Knowledge Representation, Structuring and Ontology Development

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.

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Knowledge Representation, Structuring and Ontology Development

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

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

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

  4. 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

  5. Principles • Concept-oriented • Multiple hierarchies • Semantic relations • Inheritance

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

  7. 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

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

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

  10. Other efforts • SNOMED • Galen • UMLS • KIF • Conceptual graphs

  11. Additional applications • Infobutton Manager • Cornell neurobiology • At CPMC?

  12. 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

  13. A Sample BrainML Lexicon

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

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