Ontology of Consumer Health Vocabulary: providing a formal and interoperable semantic resource for linking lay language and medical terminology.

Biomedical Informatics Semantic Web Taxonomy Terminology

Journal

Proceedings. IEEE International Conference on Bioinformatics and Biomedicine
ISSN: 2156-1125
Titre abrégé: Proceedings (IEEE Int Conf Bioinformatics Biomed)
Pays: United States
ID NLM: 101525347

Informations de publication

Date de publication:
Nov 2019
Historique:
medline: 1 11 2019
pubmed: 1 11 2019
entrez: 21 12 2023
Statut: ppublish

Résumé

The Consumer Health Vocabulary has been an important contribution to the health informatics field since its introduction in 2006. Many studies have utilized the vocabulary for various scientific research to bridge the gap between consumers and health experts. Given the flat file format of the Consumer Health Vocabulary dataset, we developed a SKOS-based ontology of the dataset. As an ontology, this dataset can be semantically linked to other resources to provide consumer-level meaning. In addition with this artifact, we plan to further expand the terminology.

Identifiants

pubmed: 38125584
doi: 10.1109/bibm47256.2019.8983220
pmc: PMC10732699
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1177-1178

Auteurs

Muhammad Amith (M)

School of Biomedical Informatics, University of Texas Health Science Center at Houston Houston, TX, United States.

Kirk Roberts (K)

School of Biomedical Informatics University of Texas Health Science Center at Houston Houston, TX, United States.

Cui Tao (C)

School of Biomedical Informatics University of Texas Health Science Center at Houston Houston, TX, United States.

Licong Cui (L)

School of Biomedical Informatics University of Texas Health Science Center at Houston Houston, TX, United States.

Hua Xu (H)

School of Biomedical Informatics University of Texas Health Science Center at Houston Houston, TX, United States.

Classifications MeSH