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Medical Ontology Research

The LHNCBC Medical Ontology Research project encompasses basic research on biomedical terminologies and ontologies and their applications to natural language processing, clinical decision support, translational medicine, data integration and interoperability. In the past few years, our research has focused on the integration, dissemination, quality assurance and applications of drug ontologies (add link to the 2014 BoSC report) and on quality assurance in biomedical ontologies. We also develop application programming interfaces (APIs) and browsers for drug resources including RxNorm, RxTerms, NDF-RT and ATC.

Publications/Tools: 
McCray AT, Burgun A, Bodenreider O. Aggregating UMLS Semantic Types for Reducing Conceptual Complexity Medinfo. 2001 ;10(Pt 1):216-20.
Bodenreider O. An Object-Oriented Model for Representing Semantic Locality in the UMLS Medinfo. 2001 ;10(Pt 1):161-5.
Burgun A, Bodenreider O. Methods for Exploring the Semantics of the Relationships Between Co-Occurring UMLS Concepts Medinfo. 2001 ;10(Pt 1):171-5.
Bodenreider O. Circular hierarchical relationships in the UMLS: etiology, diagnosis, treatment, complications and prevention. Proc AMIA Symp. 2001:57-61.
Bodenreider O, Zweigenbaum P. Identifying Proper Names in Parallel Medical Terminologies Stud Health Technol Inform. 2000;77:443-7
Bodenreider O, Bean CA. Relationships Among Knowledge Structures: Vocabulary Integration Within a Subject Domain. In: Bean A, Green R, editors. Relationships in the organization of knowledge. Springer; 2001. pp. 81-98.
Bodenreider O. Using UMLS Semantics for Classification Purposes Proc AMIA Symp. 2000:86-90.

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