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UMLS
UMLS
● Unified Medical Language System
● NCBI
● NIH owned and regulated
● The UMLS, is a set of files and software that brings
together many health and biomedical vocabularies
and standards to enable interoperability between
computer systems.
● You can use the UMLS to enhance or develop
applications, such as electronic health records,
classification tools, dictionaries and language
translators.
UMLS in Use
● One powerful use of the UMLS is linking health
information, medical terms, drug names, and
billing codes across different computer systems.
Some examples of this are:
● Linking terms and codes between your doctor,
your pharmacy, and your insurance company
● Patient care coordination among several
departments within a hospital
● The UMLS has many other uses, including search
engine retrieval, data mining, public health
statistics reporting, and terminology research.
The Three UMLS Tools
● The UMLS has three tools, which we call the
Knowledge Sources:
● Metathesaurus: Terms and codes from many
vocabularies, including CPT®, ICD-10-CM,
LOINC®, MeSH®, RxNorm, and SNOMED CT®
● Semantic Network: Broad categories (semantic
types) and their relationships (semantic relations)
● SPECIALIST Lexicon and Lexical Tools: Natural
language processing tools
The Three UMLS Tools
The Semantic Network and Lexical Tools to produce the
Metathesaurus. Metathesaurus production involves:
●
Processing the terms and codes using the Lexical Tools
●
Grouping synonymous terms into concepts
● Categorizing concepts by semantic types from the Semantic Network
● Incorporating relationships and attributes provided by vocabularies
●
Releasing the data in a common format
● Although we integrate these tools for Metathesaurus production, you
can access them separately or in any combination according to your
needs.
● Metathesaurus Browser - Retrieve UMLS
concept information, including CUIs, semantic
types, and synonymous terms.
● Semantic Network Browser - View the
names, definitions, and hierarchical structure of
the Semantic Network.
21.umls

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21.umls

  • 2. UMLS ● Unified Medical Language System ● NCBI ● NIH owned and regulated ● The UMLS, is a set of files and software that brings together many health and biomedical vocabularies and standards to enable interoperability between computer systems. ● You can use the UMLS to enhance or develop applications, such as electronic health records, classification tools, dictionaries and language translators.
  • 3. UMLS in Use ● One powerful use of the UMLS is linking health information, medical terms, drug names, and billing codes across different computer systems. Some examples of this are: ● Linking terms and codes between your doctor, your pharmacy, and your insurance company ● Patient care coordination among several departments within a hospital ● The UMLS has many other uses, including search engine retrieval, data mining, public health statistics reporting, and terminology research.
  • 4. The Three UMLS Tools ● The UMLS has three tools, which we call the Knowledge Sources: ● Metathesaurus: Terms and codes from many vocabularies, including CPT®, ICD-10-CM, LOINC®, MeSH®, RxNorm, and SNOMED CT® ● Semantic Network: Broad categories (semantic types) and their relationships (semantic relations) ● SPECIALIST Lexicon and Lexical Tools: Natural language processing tools
  • 5. The Three UMLS Tools The Semantic Network and Lexical Tools to produce the Metathesaurus. Metathesaurus production involves: ● Processing the terms and codes using the Lexical Tools ● Grouping synonymous terms into concepts ● Categorizing concepts by semantic types from the Semantic Network ● Incorporating relationships and attributes provided by vocabularies ● Releasing the data in a common format ● Although we integrate these tools for Metathesaurus production, you can access them separately or in any combination according to your needs.
  • 6. ● Metathesaurus Browser - Retrieve UMLS concept information, including CUIs, semantic types, and synonymous terms. ● Semantic Network Browser - View the names, definitions, and hierarchical structure of the Semantic Network.