Using SNOMED CT with the UMLS - Medical Ontology Research

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Morphology • Inflection ◦ Noun nucleus, nuclei ◦ Verb cauterize, cauterizes, cauterized, cauterizing ◦ Adjective red, redder, reddest • Derivation ◦ Verb-noun ◦ Adjective-noun cauterize -- cauterization red -- redness
Orthography • Spelling variants ◦ oe/e ◦ ae/e ◦ ise/ize ◦ genitive mark oesophagus - esophagus anaemia - anemia cauterise - cauterize Addison's disease Addison disease Addisons disease
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Using SNOMED CT with the UMLS IHTSD
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Outline • Overview of the UMLS
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Overview of the UMLS Introduction
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Motivation • Started in 1986 •
Page 9 and 10: Overview of the UMLS Overview throu
Page 11 and 12: Adrenal insufficiency Clinical vari
Page 13 and 14: AD in medical vocabularies • Syno
Page 15 and 16: MeSH Disease Endocrine system disea
Page 17 and 18: SNOMED International Disease/Diagno
Page 19 and 20: SNOMED CT (UMLS view) Disorder of e
Page 21 and 22: ICD-10 Endocrine, nutritional and m
Page 23 and 24: organize concepts Disease Endocrine
Page 25 and 26: UMLS view Immune system diseases Di
Page 27 and 28: Categorize concepts • High-level
Page 29 and 30: Lexical knowledge Adrenal gland dis
Page 31 and 32: Additional knowledge: UMLS editors
Page 33 and 34: Overview of the UMLS UMLS Knowledge
Page 35 and 36: UMLS Metathesaurus
Page 37 and 38: Source Vocabularies (2011AA) • 16
Page 39 and 40: Biomedical terminologies (cont’d)
Page 41 and 42: Integrating subdomains Clinical rep
Page 43 and 44: Addison’s Disease: Concept Diseas
Page 45 and 46: Metathesaurus Evolution over time
Page 47 and 48: Symbolic relations • Relation ◦
Page 49 and 50: Everything else • Co-occurrence i
Page 51 and 52: UMLS Semantic Network
Page 53 and 54: Semantic Network • Semantic netwo
Page 55 and 56: Associative (non-isa) relationships
Page 57 and 58: Relationships may inherit semantics
Page 59: SPECIALIST Lexicon • Content ◦
Page 63 and 64: Lexical tools • To manage lexical
Page 65 and 66: Normalization Example Hodgkin Disea
Page 67 and 68: Indexes • Word index ◦ word to
Page 69 and 70: Overview of the UMLS Conclusions
Page 71 and 72: Trans-namespace integration Addison
Page 73 and 74: Dr. Kin Wah Fung SNOMED CT integrat
Page 75 and 76: Different views of synonymy • In
Page 77 and 78: UMLS editing process • Analysis o
Page 79 and 80: Examples of split SNOMED CT synonym
Page 81 and 82: SNOMED CT Concept View Acetaminophe
Page 83 and 84: Common types of cross-hierarchy mer
Page 85 and 86: Extent of disagreement • Splittin
Page 87 and 88: Dr. Kin Wah Fung Representing SNOME
Page 89 and 90: SNOMED CT is more complex than othe
Page 91 and 92: Rich Release Format (RRF) • Also
Page 93 and 94: SNOMED CT Concepts SNOMED CT Concep
Page 95 and 96: SNOMED CT Relationships SNOMED CT R
Page 97 and 98: Dr. Olivier Bodenreider Applying UM
Page 99 and 100: Beta-blocker in SNOMED CT
Page 101 and 102: Finding variants in other sources S
Page 103 and 104: Ms. Janice H. Willis Applying UMLS
Page 105 and 106: SNOMED CT QA What we learn from mai
Page 107: UTS browser • https://uts.nlm.nih
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Search options include limiting by
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Metathesaurus Browser Tree search t
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SNOMED CT-centric display Click CUI
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Metathesaurus Browser Tree search d
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http://www.nlm.nih.gov/research/uml
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Getting started with the UTS API
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Getting a proxy granting ticket pri
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Getting a single-use proxy ticket p
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Mapping • ‘Mapping’ generally
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Mapping terms to a terminology •
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Example of synonym substitution •
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Inter-terminology mapping • Make
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The IntraMap algorithm (2) 2. A tar
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Use of MetaMap for inter-terminolog
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Motivation • Translation ◦ Seed
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Multi-lingual vocabularies in the U
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Finding terms in other languages
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Addison’s disease in UMLS
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C0001403 in Dutch Source Term type
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Dr. James T. Case Use case: The rol
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Access to the USCRS
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Dentistry SNOMED CT International 1
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Why integrate UMLS with a SCT brows
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No SNOMED CT Description Informs yo
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UMLS Concept Concept exists in ICD9
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References: UMLS home page • UMLS
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References • UMLS as a research p
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References • SNOMED CT and UMLS
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Using SNOMED CT with the UMLS - Medical Ontology Research

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