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A method for encoding clinical datasets with SNOMED CT

A method for encoding clinical datasets with SNOMED CT

... 404684003| Clinical finding (finding)| ” hierarchy and subtypes of “ 118956008|Body structure, altered from its original anatomical structure (morphologic ...The clinical findings should generally be ... See full document

12

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

... same clinical concept needs to be accounted for in a semantic resource such as SNOMED ...proposed method using the Swedish version of SNOMED CT, which currently lacks ... See full document

9

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 ... See full document

12

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

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

... RF2 SNOMED-CT files used for the ontology transformation were realised in July 2013 by ...structure, Clinical finding, Environment or geographical location, Observable entity, Organism, ... See full document

5

Leveraging SNOMED CT terms and relations for machine translation of clinical texts from Basque to Spanish

Leveraging SNOMED CT terms and relations for machine translation of clinical texts from Basque to Spanish

... available clinical domain resources in a real use- case, which is the translation of Electronic Health Records (EHR) from Basque to ...translate clinical texts between Basque and Spanish. This work presents ... See full document

11

The development of a nursing subset of patient problems to support interoperability

The development of a nursing subset of patient problems to support interoperability

... methods were used for including patient problems. In our research, the subset is based on the overview of pa- tient problem occurrence as experienced and the level of influence [28] in contrast to the US subset which is ... See full document

12

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

... 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 annotated ... See full document

8

SNOMED CT in a language isolate: an algorithm for a semiautomatic translation

SNOMED CT in a language isolate: an algorithm for a semiautomatic translation

... We decided to make the suffix compulsory as we dis- covered that the equivalences of the suffixes are more complex than the equivalences of the prefixes. That is, only 22% of the suffixes follows the transcription rules ... See full document

14

Integration of tools for binding archetypes to SNOMED CT

Integration of tools for binding archetypes to SNOMED CT

... All archetype terms, irrespective of whether they have found a match in the first round, are sent to the second round for normalisation. Normalisation involves execu- tion of a series of lexical and semantic methods and ... See full document

10

Experiences mapping a legacy interface terminology to SNOMED CT

Experiences mapping a legacy interface terminology to SNOMED CT

... SNOMED CT is a dynamic, scientifically validated clinical health care terminology and infrastructure [14] that is being increasingly adopted as the preferred terminology for the representation of ... See full document

6

Exploiting Structured Data, Negation Detection and SNOMED CT Terms in a Random Indexing Approach to Clinical Coding

Exploiting Structured Data, Negation Detection and SNOMED CT Terms in a Random Indexing Approach to Clinical Coding

... It should be pointed out that the model-generated recommendations are restricted to a set of prop- erly formatted ICD-10 codes. Given the condi- tions under which real, clinically generated data is produced, there is ... See full document

8

Evaluating lexical similarity and modeling discrepancies in the procedure hierarchy of SNOMED CT

Evaluating lexical similarity and modeling discrepancies in the procedure hierarchy of SNOMED CT

... of SNOMED CT that has high likelihood of exhi- biting inconsistencies thus requiring greater ...in SNOMED CT that are candidate for manual ... See full document

7

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

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

... Using EL++ DL supports its reasoners (e.g. CEL 3 ) to compute the subclass hierarchy of a given ontology in polynomial time; however, the resulting OWL ontology is of such a big size (> 140 MB) that it runs into ... See full document

19

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

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

... and SNOMED CT terminology, which are the terminologies we needed for our mapping ...mapping method used was to utilise the link provided by the UMLS between the two terminolo- ... See full document

8

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

... the clinical content in electronic health records, and both attribute values should be of interest for health planning as well as quality ...of clinical relevant attributes that needs to be further explored ... See full document

34

A case report: using SNOMED CT for grouping Adverse Drug Reactions Terms

A case report: using SNOMED CT for grouping Adverse Drug Reactions Terms

... of SNOMED CT consid- ered relevant ...the method needs to be improved to take into account groupings that rely also on associative rela- tions such as "has location", "has morphology" ... See full document

8

A controlled trial of automated classification of negation from clinical notes

A controlled trial of automated classification of negation from clinical notes

... 41 clinical records using SNOMED-CT the Mayo Vocabulary Server Parsing software and the manual ...by SNOMED-CT, but were identified by the human ...our method is a good test for ... See full document

7

Towards Converting Clinical Phrases into SNOMED CT Expressions

Towards Converting Clinical Phrases into SNOMED CT Expressions

... the SNOMED CT relation identification method to convert clinical phrases into their SNOMED CT ...in SNOMED CT, doing this is computationally very intensive (testing ... See full document

10

Generating Patient Problem Lists from the ShARe Corpus using SNOMED CT/SNOMED CT CORE Problem List

Generating Patient Problem Lists from the ShARe Corpus using SNOMED CT/SNOMED CT CORE Problem List

... current clinical sta- ...between clinical systems within and outside the care ...of clinical texts and evaluate the coverage of anno- tated patient problems against SNOMED CT and ... See full document

5

Interoperability between phenotypes in research and healthcare terminologies—Investigating partial mappings between HPO and SNOMED CT

Interoperability between phenotypes in research and healthcare terminologies—Investigating partial mappings between HPO and SNOMED CT

... [1]. Clinical phenotypes can be recorded in reference to multiple terminologies, in- cluding the Human Phenotype Ontology (HPO), mainly used for research purposes, and the Standardized Nomenclature of Medicine ... See full document

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