Using SNOMED CT with the UMLS - Medical Ontology Research

More documents

Recommendations

Info

Retrieving similar variants beta-Adrenergic Blocking Agents adrenergic agent beta blocking Agents, beta-Adrenergic Blocking beta-adrenergic blocking agent beta-Adrenergic blocking agent Beta-Adrenergic Blocking Agent beta-Adrenergic blocking agent, NOS beta adrenergic blocking agents beta-adrenergic blocking agents beta Adrenergic Blocking Agents beta-Adrenergic Blocking Agents Beta-adrenergic Blocking Agents Blocking Agents, beta-Adrenergic
Ms. Janice H. Willis Applying UMLS quality assurance processes to SNOMED CT content
Page 1 and 2:
Using SNOMED CT with the UMLS IHTSD
Page 3 and 4:
Outline • Overview of the UMLS
Page 5 and 6:
Overview of the UMLS Introduction
Page 7 and 8:
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 and 60: SPECIALIST Lexicon • Content ◦
Page 61 and 62: Orthography • Spelling variants
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: Finding variants in other sources S
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 118: http://www.nlm.nih.gov/research/uml
Page 121 and 122: Getting started with the UTS API
Page 123 and 124: Getting a proxy granting ticket pri
Page 125 and 126: Getting a single-use proxy ticket p
Page 127 and 128: Mapping • ‘Mapping’ generally
Page 129 and 130: Mapping terms to a terminology •
Page 131 and 132: Example of synonym substitution •
Page 133 and 134: Inter-terminology mapping • Make
Page 135 and 136: The IntraMap algorithm (2) 2. A tar
Page 137 and 138: Use of MetaMap for inter-terminolog
Page 139 and 140: Motivation • Translation ◦ Seed
Page 141 and 142: Multi-lingual vocabularies in the U
Page 143 and 144: Finding terms in other languages
Page 145 and 146: Addison’s disease in UMLS
Page 147 and 148: C0001403 in Dutch Source Term type
Page 149 and 150: Dr. James T. Case Use case: The rol
Page 151: Access to the USCRS
Page 154 and 155:
Dentistry SNOMED CT International 1
Page 156 and 157:
Why integrate UMLS with a SCT brows
Page 158 and 159:
No SNOMED CT Description Informs yo
Page 160 and 161:
UMLS Concept Concept exists in ICD9
Page 162 and 163:
References: UMLS home page • UMLS
Page 164 and 165:
References • UMLS as a research p
Page 166 and 167:
References • SNOMED CT and UMLS
show all

Using SNOMED CT with the UMLS - Medical Ontology Research

Create successful ePaper yourself

Delete template?

Save as template?