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SNOMED CT Concept

Automated SNOMED CT concept and attribute relationship detection through a web-based implementation of cTAKES

Automated SNOMED CT concept and attribute relationship detection through a web-based implementation of cTAKES

... filter SNOMED CT con- cepts, detect relationships between concepts, and uses those relationships to detect attribute ...(SNOMED CT concept filter, Concept relationship de- ...

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Dione: An OWL representation of ICD-10-CM for classifying patients’ diseases

Dione: An OWL representation of ICD-10-CM for classifying patients’ diseases

... the SNOMED CT concept “[X] Other specified arthropod-borne viral fevers”, “Piry virus dis- ease” and “[X] Other specified viral hemorrhagic ...these SNOMED CT concepts for both types of ...

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A method for encoding clinical datasets with SNOMED CT

A method for encoding clinical datasets with SNOMED CT

... a concept, a subtype of a defining characteristic associated with a concept is ...the SNOMED CT concept model ...in SNOMED CT that have not been fully defined and require ...

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Translating SNOMED CT Terminology into a Minor Language

Translating SNOMED CT Terminology into a Minor Language

... the SNOMED CT concept identi- fier) are stored in an XML document that follows the TermBase eXchange (TBX) (Melby, 2012) in- ternational standard (ISO 30042) as exposed in (Perez-de-Vi˜naspre and ...

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Experiences mapping a legacy interface terminology to SNOMED CT

Experiences mapping a legacy interface terminology to SNOMED CT

... to SNOMED CT (Table 2), there were 1510 concepts that were rated by two termi- nologists (GW, STR) as having semantically equivalent ...single SNOMED CT concepts and 1208 legacy concepts ...

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Views of diagnosis distribution in primary care in 2.5 million encounters in Stockholm: a comparison between ICD-10 and SNOMED CT

Views of diagnosis distribution in primary care in 2.5 million encounters in Stockholm: a comparison between ICD-10 and SNOMED CT

... of SNOMED CT is assumed to be useful for aggregated analysis of outcomes, decision support, knowledge-based practice guidelines ...in SNOMED CT and build relation- ...in SNOMED ...

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Towards Converting Clinical Phrases into SNOMED CT Expressions

Towards Converting Clinical Phrases into SNOMED CT Expressions

... associated SNOMED CT ...of SNOMED CT’s compositional grammar (IHTSDO, ...unique SNOMED CT concept and relation identifiers. Each concept in SNOMED CT has at ...

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A controlled trial of automated classification of negation from clinical notes

A controlled trial of automated classification of negation from clinical notes

... within SNOMED-CT to the sentence fragment ...each concept an attribute stating that the concept is a positive assertion, a negative assertion or an uncertain ...the SNOMED-CT ...

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A computational linguistics motivated mapping of ICPC-2 PLUS to SNOMED CT

A computational linguistics motivated mapping of ICPC-2 PLUS to SNOMED CT

... in SNOMED CT concepts, for example, "Channel catfish virus disease (disorder)" and "Lump(s);behind ...the SNOMED CT concept "235856003 Disease of liver (disorder)" ...

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Semantic validation of the use of SNOMED CT in HL7 clinical documents

Semantic validation of the use of SNOMED CT in HL7 clinical documents

... of SNOMED CT ® codes. A SNOMED CT ® code may express a meaning that the RIM expresses using a combination of classes ...of SNOMED CT ® in the context of HL7 documents, guidelines ...

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A Review of Semantic Similarity Measures in Biomedical Domain Using SNOMED-CT

A Review of Semantic Similarity Measures in Biomedical Domain Using SNOMED-CT

... The Unified Medical Language System (UMLS) was developed by the US National Library of Medicine and is a set of files and software that brings together many health and biomedical vocabularies to enable interoperability ...

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Experiments to create ontology based disease models for
diabetic retinopathy from different biomedical resources

Experiments to create ontology based disease models for diabetic retinopathy from different biomedical resources

... The SNOMED CT Refset mechanism is a method for filtering and arranging SNOMED CT concepts for specific domains or use cases ...[22]. SNOMED CT con- cepts belonging to a Refset ...

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Using Concept Definitions and Ontology Structure to Measure Semantic Similarity in Biomedicine

Using Concept Definitions and Ontology Structure to Measure Semantic Similarity in Biomedicine

... Semantic similarity is considered a special case of relatedness that is more tied to likeness (e.g. shape and form)[1] or when a linguistic relation between word/concept pairs holds, such as synonymy or ...

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Scalable representations of diseases in biomedical ontologies

Scalable representations of diseases in biomedical ontologies

... The ontological triad structure – disposition – process (SDP) is suited to describe iterations of sequential complex pathological processes in which the outcome of one pathological process is a pathological structure ...

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Enriching a primary health care version of ICD-10 using SNOMED CT mapping

Enriching a primary health care version of ICD-10 using SNOMED CT mapping

... to SNOMED CT and SNOMED CT’s structure can be used to enrich KSH97-P’s mono-hierarchical ...formal concept representation system of ICD cate- gories, but is in line with the intentions of ...

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SNOMED CT standard ontology based on the ontology for general medical science

SNOMED CT standard ontology based on the ontology for general medical science

... Steps for building an SCT OWL 2 upper-level ontology Medical terminologies have so many explicitly de- fined relationships between each other. In addition, there are many implicit pieces of information that can be ...

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Rule-based Entity Recognition and Coverage of SNOMED CT in Swedish Clinical Text

Rule-based Entity Recognition and Coverage of SNOMED CT in Swedish Clinical Text

... Named entity recognition of the clinical entities disorders, findings and body structures is needed for information extraction from unstructured text in health records. Clinical notes from a Swedish emergency unit were ...

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Advanced terminological approaches in nursing

Advanced terminological approaches in nursing

... A concept-oriented approach was developed, through collaboration between the College of American Pathologists and Kaiser Permanente, based on SNOMED ...International. SNOMED Reference Terminology ...

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FEDRR: fast, exhaustive detection of redundant hierarchical relations for quality improvement of large biomedical ontologies

FEDRR: fast, exhaustive detection of redundant hierarchical relations for quality improvement of large biomedical ontologies

... Large, comprehensive terminological systems such as SNOMED CT and GO continue to evolve over time. They are often incomplete, under-specified, and non-static, for rea- sons such as the evolving state of ...

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Corpus Driven Terminology Development: Populating Swedish SNOMED CT with Synonyms Extracted from Electronic Health Records

Corpus Driven Terminology Development: Populating Swedish SNOMED CT with Synonyms Extracted from Electronic Health Records

... of SNOMED CT cur- rently does not contain synonyms, it cannot be used to perform the parameter tuning automat- ...the SNOMED CT semantic types studied in this paper, namely Disorder and Find- ...

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