You are here

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: 
Nelsonn SD, Parker J, Lario R, Winnenburg R, Erlbaum MS, Lincoln MJ, Bodenreider O. Interoperability of medication classification systems: Lessons learned mapping estab-lished pharmacologic classes (EPCs) to SNOMED CT. Stud Health Technol Inform. 2017;245:920-924.
Yu Z, Nguyen T, Dhombres F, Johnson T, Bodenreider O. "Hybrid Topics" - Facilitating the Interpretation of Topics Through the Addition of MeSH Descriptors to Bags of Words. Stud Health Technol Inform. 2017;245:662-666.
Bahr NJ, Nelson SD, Winnenburg R, Bodenreider O. Eliciting the Intension of Drug Value Sets - Principles and Quality Assurance Applications. Stud Health Technol Inform. 2017;245:843-847.
Dhombres F, Bodenreider O. Trends in Fetal Medicine: A 10-Year Bibliometric Analysis of Prenatal Diagnosis. Stud Health Technol Inform. 2017;245:853-857.
Madani S, Henderson J, Fung K. Development of an oncology subset of SNOMED CT based on patient notes. AMIA Annu Symp Proc 2016: 91-92.
Oellrich A, Collier N, Groza T, Rebholz-Schuhmann D, Shah N, Bodenreider O, Borlan MR, Georgiev I, Liu H, Livingston K, Luna A, Mallon AM, Manda P, Robinson PM, Rustici G, Simonn M, Wang L, Winnenburg R, Dumontier M. The digital revolution in phenotyping. Brief Bioinform. 2016 Sep;17(5):819-30. doi: 10.1093/bib/bbv083. Epub 2015 Sep 29.
Homer ML, Palmer NP, Bodenreider O, Cami A, Chadwick L, Mandl KD. The Drug Data to Knowledge Pipeline: Large-Scale Claims Data Classification for Pharmacologic Insight. AMIA Jt Summits Transl Sci Proc. 2016 Jul 20;2016:105-11. eCollection 2016.
Dhombres F, Bodenreider O. Interoperability between phenotypes in research and healthcare terminologies--Investigating partial mappings between HPO and SNOMED CT. J Biomed Semantics. 2016 Feb 9;7:3. doi: 10.1186/s13326-016-0047-3. eCollection 2016.
Bodenreider O. Identifying missing hierarchical relations in SNOMED CT from logical definitions based on the lexical features of concept names. Proceedings of the 6th International Conference on Biomedical Ontology (ICBO 2016), 2016: p. (electronic proceedings: http://ceur-ws.org/Vol-1747/IT601_ICBO2016.pdf).
Kury F, Bodenreider O. Desiderata for drug classification systems for their use in analyzing large drug prescription datasets. Proceedings of the 3rd Workshop on Data Mining for Medical Informatics (DMMI 2016), 2016.

Pages