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Knowledge Representation, Structuring and Ontology Development

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Presentation on theme: "Knowledge Representation, Structuring and Ontology Development"— Presentation transcript:

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

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11 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

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

16 Other efforts SNOMED Galen UMLS KIF Conceptual graphs

17 Additional applications
Infobutton Manager Cornell neurobiology At CPMC?

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21 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

22 A Sample BrainML Lexicon

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


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