Results 151 to 160 of about 714,027 (197)

Mapping frailty concepts to SNOMED CT

International Journal of Medical Informatics, 2021
Frailty is considered an emerging syndrome characterized by a decrease in physiological ability to respond to stressors, leading to increased morbidity and mortality rates. Frailty is distinguished from normal age-associated decline because it is a sharp and often rapid decline rather than a gradual slowing down of general functioning.
Manpreet Kaur Gill Thandi, Sharde Brown, Sabrina T. Wong   +2 more
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Relationship Groups in SNOMED CT

2009
Relationship groups are a construct which is particular for the representation of concepts in SNOMED CT. In this paper, the July 2008 version of SNOMED CT is analyzed to determine the usage of relationship groups. Relationship groups are used with 36 out of 65 relations, playing a role in 28% of all concepts. Relationship groups are used in the concept
Ronald Cornet, Stefan Schulz 0001
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Consolidating SNOMED CT's ontological commitment

Applied Ontology, 2011
SNOMED CT is a clinical terminology that uses logical axioms to provide terms with meaning. This enforces precise agreements about the ontological nature of the entities denoted by the terms, commonly described as ontological commitment. We demonstrate that SNOMED CT implicitly supports at least three different kinds of ontological commitments: (i ...
Stefan Schulz 0001, Ronald Cornet, Kent A. Spackman   +2 more
openaire   +2 more sources

Facilitating pre-operative assessment guidelines representation using SNOMED CT [PDF]

Journal of Biomedical Informatics, 2010
ObjectiveTo investigate whether SNOMED CT covers the terms used in pre-operative assessment guidelines, and if necessary, how the measured content coverage can be improved.MethodsPre-operative assessment guidelines were retrieved from the websites of ...
Ronald Cornet, Leila Ahmadian, Nicolette de Keizer   +2 more
exaly   +2 more sources

Extracting Subontologies from SNOMED CT

2022
Computing smaller extracts of a larger ontology has been recognised as important for enabling tasks such as ontology creation, review, updating, debugging, navigation, sharing and integration [2, 5, 6]. In addition, reasoning tasks such as querying and classification take less time to execute over a smaller extract than over the original ontology.
Warren Del-Pinto, Renate A. Schmidt, Yongsheng Gao 0005   +2 more
openaire   +1 more source

Inspecting regularities and irregularities in SNOMED-CT

Proceedings of the 4th International Workshop on Semantic Web Applications and Tools for the Life Sciences, 2011
Detecting planned and unplanned deviations from guidelines that give rise to patterns in ontologies can be difficult, even simply in terms of detecting regularities in a complex artefact. In this paper we demonstrate the usage of RIO; a framework for detecting such syntactic regularities using cluster analysis of the entities in ontologies.
Eleni Mikroyannidi, Luigi Iannone, Robert Stevens 0001, Alan L. Rector   +3 more
openaire   +2 more sources

SNOMED CT in Pathology

2012
Pathology information systems have been using SNOMED II for many years, and in most cases, they are in a migration process to SNOMED CT. COST Action IC0604 (EURO-TELEPATH) has considered terminology normalization one of its strategic objectives. This paper reviews the use of SNOMED CT in healthcare, with a special focus in pathology.
García-Rojo Marcial, Daniel Christel, Laurinavicius Arvydas   +2 more
openaire   +1 more source

Mapping SNOMED CT to ICD-10

2012
A collaboration between the International Health Terminology Standards Development Organisation (IHTSDO®) and the World Health Organization (WHO) has resulted in a priority set of cross maps from SNOMED CT®to ICD-10®to support the epidemiological, statistical and administrative reporting needs of the IHTSDO member countries, WHO
Kathy L. Giannangelo, Jane Millar
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Using SNOMED CT

2015
This chapter deals with how anyone can use SNOMED CT in a variety of scenarios. It is primarily for use by healthcare IT engineers and healthcare informatics experts.
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Enabling SNOMED CT

2015
This chapter discusses the various ways and means of how SNOMED CT can be used in a clinical documentation system and is primarily meant for the healthcare IT engineers and healthcare informatics experts.
openaire   +1 more source