You are here

  • Kury F, Baik SH, McDonald CJ. Cardioprotective Drugs and Incident Dementias in Medicare's Big Data. AMIA 2017.
  • Bodenreider O. Circular hierarchical relationships in the UMLS: etiology, diagnosis, treatment, complications and prevention. Proc AMIA Symp. 2001:57-61.
  • Bergun A, Bodenreider O, Mougin F. Classifying diseases with respect to anatomy: a study in SNOMED CT AMIA Annu Symp Proc. 2005:91-5
  • Fiszman M, Bray B, Shin D, Kilicoglu H, Bennett GC, Bodenreider O, Rindflesch TC. Combining relevance assignment with quality of the evidence to support guideline development. Stud Health Technol Inform. 2010;160(Pt 1):709-13.
  • Bodenreider O. Comment les Usagers Accedent a l'Information Medicale Aux USA: l'Exemple de MEDLINEplus [How Consumers Access Health Information in the USA: The MEDLINEplus Example] Innovation et Technologie en Biologie et Medecine. 2000;21(5):286-90.
  • Mougin F, Burgun A, Bodenreider O. Comparing Drug-class Membership in ATC and NDF-RT Proc IHI 2012 2012:437-443
  • Geller J, Morrey CP, Xu J, Halper M, Elhanan G, Perl Y, Hripcsak G. Comparing inconsistent relationship configurations indicating UMLS errors. AMIA Annu Symp Proc. 2009 Nov 14;2009:193-7.
  • Bodenreider O. Comparing SNOMED CT and the NCI Thesaurus through Semantic Web Technologies Proc. KR-MED 2008
  • Bodenreider O, Zhang S. Comparing the Representation of Anatomy in the FMA and SNOMED CT AMIA Annu Symp Proc. 2006:46-50
  • Mougin F, Bodenreider O. Comparing Two Approaches to Eliminating Cycles in Terminological Systems Proc RFIA 2006
  • Wei D, Wang Y, Perl Y, Xu J, Halper M, Spackman KA. Complexity measures to track the evolution of a SNOMED hierarchy. AMIA Annu Symp Proc. 2008 Nov 6:778-82.
  • Winnenburg R, Bodenreider O. Coverage of phenotypes in standard terminologies. Joint Bio-Ontologies and BioLINK ISMB'2014 SIG session "Phenotype Day" 2014:41-44. 
  • Fung KW, Richesson R, Bodenreider O. Coverage of rare disease names in standard terminologies and implications for patients, providers, and research. AMIA Annu Symp Proc. 2014 Nov 14;2014:564-72. eCollection 2014.
  • McDonald CJ, Abhyankar S, Taft L. Dataset: common units of measure - subset of the Unified Code for Units of Measure.
  • Fung KW. Dataset: CORE problem list of SNOMED CT.
  • Fung KW. Dataset: ICD-9-CM to SNOMED CT Map
  • Abhyankar S, Goodwin RM, Zuckerman AE, McDonald CJ. Dataset: newborn screening LOINC codes (AHIC panel).
  • Abhyankar S, Goodwin RM, Zuckerman AE, McDonald CJ. Dataset: Newborn screening LOINC panel.
  • Abhyankar S, Goodwin RM, Zuckerman A, McDonald CJ. Dataset: newborn screening results annotated example HL7 electronic message guidance (v 5.2).
  • Fung KW. Dataset: Nursing Problem List Subset of SNOMED CT
  • Fung KW. Dataset: SNOMED CT route of administration subset.
  • Fung K. Dataset: SNOMED CT to ICD-10 Cross Map
  • Fung K. Dataset: SNOMED CT to ICD-10-CM Map
  • Botti G, Bodenreider O, Burgun A, Le Beux P, Fieschi M. De la Classification à la Connaissance des Maladies: Une Réflexion à Partir de la Classification Internationale des Maladies [From Classification to Knowledge About Diseases: Thoughts about the International Classification of Diseases] Innovation et Technologie en Biologie et Médecine. 2000;21(5):291-97.
  • Fung K, Gutierrez A, Ameye F, D’Have A, Ariel B. Demonstrating the Benefits of Mapping SNOMED CT to ICD-10-PCS through a Prototype Application for End User Implementation. SNOMED Expo Oct 2017, Bratislava, Slovakia pp. 0

Pages