Zobrazeno 1 - 10
of 2 662
pro vyhledávání: '"Biomedical ontologies"'
Autor:
Houcemeddine Turki, Khalil Chebil, Bonaventure F.P. Dossou, Chris Chinenye Emezue, Abraham Toluwase Owodunni, Mohamed Ali Hadj Taieb, Mohamed Ben Aouicha
Publikováno v:
Heliyon, Vol 10, Iss 19, Pp e38448- (2024)
This study presents a comprehensive framework to enhance Wikidata as an open and collaborative knowledge graph by integrating Open Biological and Biomedical Ontologies (OBO) and Medical Subject Headings (MeSH) keywords from PubMed publications. The p
Externí odkaz:
https://doaj.org/article/0914bd1364e04c749dc59a120c2b2ee0
Autor:
César H. Bernabé, Núria Queralt-Rosinach, Vítor E. Silva Souza, Luiz Olavo Bonino da Silva Santos, Barend Mons, Annika Jacobsen, Marco Roos
Publikováno v:
Journal of Biomedical Semantics, Vol 14, Iss 1, Pp 1-14 (2023)
Abstract Background The FAIR principles recommend the use of controlled vocabularies, such as ontologies, to define data and metadata concepts. Ontologies are currently modelled following different approaches, sometimes describing conflicting definit
Externí odkaz:
https://doaj.org/article/a685d807047649c9870c6549288cfcbf
Autor:
Althagafi, Azza Th.
Whole-exome and genome sequencing are widely used to diagnose individual patients. However, despite its success, this approach leaves many patients undiagnosed. This could be due to the need to discover more disease genes and variants or because dise
Externí odkaz:
http://hdl.handle.net/10754/693761
Akademický článek
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Akademický článek
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Publikováno v:
Future Internet, Vol 15, Iss 10, p 331 (2023)
The profusion of existing ontologies in different domains has made reusing ontologies a best practice when developing new ontologies. The ontology reuse process reduces the expensive cost of developing a new ontology, in terms of time and effort, and
Externí odkaz:
https://doaj.org/article/c39d2fe04a274767a10c4deba980acb2
Publikováno v:
مدیریت اطلاعات سلامت, Vol 18, Iss 2, Pp 81-88 (2021)
Introduction: Considering the important role of ontologies in information organization and increasing the efficiency of information retrieval systems, as well as the growing development of the nuclear medicine field and its concepts, and the need for
Externí odkaz:
https://doaj.org/article/a0b9805c4c0d4278972adc979aeab1e1
Autor:
Beger, Christoph, Matthies, Franz, Schäfermeier, Ralph, Kirsten, Toralf, Herre, Heinrich, Uciteli, Alexandr
Clinical research based on data from patient or study data management systems plays an important role in transferring basic findings into the daily practices of physicians. To support study recruitment, diagnostic processes, and risk factor evaluatio
Externí odkaz:
https://ul.qucosa.de/id/qucosa%3A87378
https://ul.qucosa.de/api/qucosa%3A87378/attachment/ATT-0/
https://ul.qucosa.de/api/qucosa%3A87378/attachment/ATT-0/
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 20, Iss S10, Pp 1-15 (2020)
Abstract Background Summarization networks are compact summaries of ontologies. The “Big Picture” view offered by summarization networks enables to identify sets of concepts that are more likely to have errors than control concepts. For ontologie
Externí odkaz:
https://doaj.org/article/ffa0ad89cf284b75a638c62826c1e910
Autor:
Jose Antonio Bernabe-Diaz, Manuel Franco-Nicolas, Juana Maria Vivo-Molina, Manuel Quesada-Martinez, Astrid Duque-Ramos, Jesualdo Tomas Fernandez-Breis
Publikováno v:
IEEE Access, Vol 8, Pp 148722-148743 (2020)
Quantitative metrics are generally applied by scientists to measure and assess the properties of data and knowledge resources. In ontology engineering, a number of metrics have been developed to analyse different features of ontologies in the last fe
Externí odkaz:
https://doaj.org/article/d2bc9b399899461bac6c7776a61eac9e