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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 •
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Overview of the UMLS Overview throu
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Adrenal insufficiency Clinical vari
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AD in medical vocabularies • Syno
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MeSH Disease Endocrine system disea
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SNOMED International Disease/Diagno
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SNOMED CT (UMLS view) Disorder of e
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ICD-10 Endocrine, nutritional and m
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organize concepts Disease Endocrine
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UMLS view Immune system diseases Di
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Categorize concepts • High-level
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Lexical knowledge Adrenal gland dis
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Additional knowledge: UMLS editors
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Overview of the UMLS UMLS Knowledge
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UMLS Metathesaurus
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Source Vocabularies (2011AA) • 16
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Biomedical terminologies (cont’d)
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Integrating subdomains Clinical rep
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Addison’s Disease: Concept Diseas
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Metathesaurus Evolution over time
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Symbolic relations • Relation ◦
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Everything else • Co-occurrence i
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UMLS Semantic Network
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Semantic Network • Semantic netwo
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Associative (non-isa) relationships
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Relationships may inherit semantics
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SPECIALIST Lexicon • Content ◦
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Orthography • Spelling variants
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Lexical tools • To manage lexical
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Normalization Example Hodgkin Disea
- Page 67 and 68: Indexes • Word index ◦ word to
- Page 69 and 70: Overview of the UMLS Conclusions
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- 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
- Page 110 and 111: Search options include limiting by
- Page 112 and 113: Metathesaurus Browser Tree search t
- Page 114 and 115: SNOMED CT-centric display Click CUI
- Page 116 and 117: Metathesaurus Browser Tree search d
- Page 120 and 121: Dr. Olivier Bodenreider (courtesy o
- Page 122 and 123: Communication architecture Applicat
- Page 124 and 125: Getting a single-use proxy ticket p
- Page 126 and 127: Dr. Kin Wah Fung Finding correspond
- Page 128 and 129: The UMLS as a resource for terminol
- Page 130 and 131: The UMLS as a source of synonyms C0
- Page 132 and 133: MetaMap • Developed by NLM http:/
- Page 134 and 135: The IntraMap algorithm (1) • Maki
- Page 136 and 137: The IntraMap algorithm (3) 3. A tar
- Page 138 and 139: Ms. Janice H. Willis Finding terms
- Page 140 and 141: Languages in the UMLS Metathesaurus
- Page 142 and 143: Multi-lingual vocabularies in the U
- Page 144 and 145: Example • SNOMED CT concept Addis
- Page 146 and 147: Languages for C0001403 Language CZE
- Page 148 and 149: C0001403 in French Source Term type
- Page 150 and 151: Rationale for USCRS • IHTSDO requ
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- Page 155 and 156: USCRS Status • Currently “Post-
- Page 157 and 158: Can limit to active concepts only R
- Page 159 and 160: Harnessing the UMLS Search term of
- Page 161 and 162: References
- Page 163 and 164: References • Overview ◦ Bodenre
- Page 165 and 166: References • Technical papers ◦
- Page 167: References • Mapping through UMLS