Zobrazeno 1 - 10
of 65
pro vyhledávání: '"UMLS metathesaurus"'
Publikováno v:
Diagnostics, Vol 14, Iss 11, p 1204 (2024)
In recent years, Convolutional Neural Network (CNN) models have demonstrated notable advancements in various domains such as image classification and Natural Language Processing (NLP). Despite their success in image classification tasks, their potent
Externí odkaz:
https://doaj.org/article/b73f3c8f63134fc8ad78fd5b86355c5a
Autor:
Daniel B. Hier, Steven U. Brint
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 20, Iss 1, Pp 1-9 (2020)
Abstract Background The use of clinical data in electronic health records for machine-learning or data analytics depends on the conversion of free text into machine-readable codes. We have examined the feasibility of capturing the neurological examin
Externí odkaz:
https://doaj.org/article/06aff081fd6843a3bab4ac8352920cac
Akademický článek
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Autor:
Steven U. Brint, Daniel B. Hier
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 20, Iss 1, Pp 1-9 (2020)
BMC Medical Informatics and Decision Making
BMC Medical Informatics and Decision Making
Background The use of clinical data in electronic health records for machine-learning or data analytics depends on the conversion of free text into machine-readable codes. We have examined the feasibility of capturing the neurological examination as
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3a9c8413e53cd9c0cf3a5b32d1a31fba
http://link.springer.com/article/10.1186/s12911-020-1066-7
http://link.springer.com/article/10.1186/s12911-020-1066-7
Publikováno v:
Proceedings of the ... International World-Wide Web Conference. International WWW Conference
WWW
WWW
With 214 source vocabularies, the construction and maintenance process of the UMLS (Unified Medical Language System) Metathesaurus terminology integration system is costly, time-consuming, and error-prone as it primarily relies on (1) lexical and sem
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::40ea02b8aea70b01563b19188948a98e
https://pubmed.ncbi.nlm.nih.gov/34514472
https://pubmed.ncbi.nlm.nih.gov/34514472
Publikováno v:
Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki, Vol 0, Iss 5, Pp 60-65 (2019)
A method for resolving the lexical ambiguity of biomedical terms has been proposed. The method is based on a comparison of «word bags» obtained from the context, definitions and information on related terms from the UMLS metathesaurus [1]. Modifica
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5dc38ef15661614d24d55082df5547d9
https://doklady.bsuir.by/jour/article/view/1152
https://doklady.bsuir.by/jour/article/view/1152
Autor:
Tho Quan, Van T. Le, Vinh Nguyen, Sy V. Nghiem, Hong Yung Yip, Olivier Bodenreider, Tien T. T. Tran
Publikováno v:
KSE
Int Conf Knowl Syst Eng
Int Conf Knowl Syst Eng
The Unified Medical Language System, or UMLS, is a repository of medical terminology developed by the U.S. National Library of Medicine for improving the computer system's ability of understanding the biomedical and health languages. The UMLS Metathe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9073c7806826c2c2c8da95df31f28b0f
https://doi.org/10.1109/kse50997.2020.9287797
https://doi.org/10.1109/kse50997.2020.9287797
Publikováno v:
J Am Med Inform Assoc
Objective We explored how knowledge embeddings (KEs) learned from the Unified Medical Language System (UMLS) Metathesaurus impact the quality of relation extraction on 2 diverse sets of biomedical texts. Materials and Methods Two forms of KEs were le
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a5e8077ba403152ed00839c6aeb53e98
https://europepmc.org/articles/PMC7647370/
https://europepmc.org/articles/PMC7647370/
Kniha
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Publikováno v:
CLEI Electronic Journal, Vol 22, Iss 3 (2019)
The current process of medical terminology coding in health standards at the Hospital of Clinics of Paraguay is performed by physicians, normally interns or residents. They search the medical terminology code in impressed coding manuals or in interne
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7a7aa2d78d75e282f92dd1cdd35736bd
https://doi.org/10.19153/cleiej.22.3.8
https://doi.org/10.19153/cleiej.22.3.8