Výsledky vyhledávání - "Medical Ontologies"

Akademický článek

Transforming the Information System for Research in Primary Care (SIDIAP) in Catalonia to the OMOP Common Data Model and Its Use for COVID-19 Research

Autor: Raventós B, Fernández-Bertolín S, Aragón M, Voss EA, Blacketer C, Méndez-Boo L, Recalde M, Roel E, Pistillo A, Reyes C, van Sandijk S, Halvorsen L, Rijnbeek PR, Burn E, Duarte-Salles T

Publikováno v: Clinical Epidemiology, Vol Volume 15, Pp 969-986 (2023)

Berta Raventós,1,2,* Sergio Fernández-Bertolín,1,* María Aragón,1 Erica A Voss,3– 5 Clair Blacketer,3– 5 Leonardo Méndez-Boo,6 Martina Recalde,1 Elena Roel,1,2 Andrea Pistillo,1,7 Carlen Reyes,1 Sebastiaan van Sandijk,8 Lars Halvors

Externí odkaz: https://doaj.org/article/7f112681f1c44914935f562158cd320b

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Akademický článek

An Automatic Approach to Extending the Consumer Health Vocabulary

Autor: Monselise Michal, Greenberg Jane, Liang Ou Stella, Pascua Sonia, Kim Heejun, Kelly Mat, Boone Joan P., Yang Christopher C.

Publikováno v: Journal of Data and Information Science, Vol 6, Iss 1, Pp 35-49 (2020)

Given the ubiquitous presence of the internet in our lives, many individuals turn to the web for medical information. A challenge here is that many laypersons (as “consumers”) do not use professional terms found in the medical nomenclature when d

Externí odkaz: https://doaj.org/article/b70fb45adc3146849243078a078d483c

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Akademický článek

An Automatic Generation of Heterogeneous Knowledge Graph for Global Disease Support: A Demonstration of a Cancer Use Case

Autor: Noura Maghawry, Samy Ghoniemy, Eman Shaaban, Karim Emara

Publikováno v: Big Data and Cognitive Computing, Vol 7, Iss 1, p 21 (2023)

Semantic data integration provides the ability to interrelate and analyze information from multiple heterogeneous resources. With the growing complexity of medical ontologies and the big data generated from different resources, there is a need for in

Externí odkaz: https://doaj.org/article/bf9a1f79ae304ec89400bed3d840f84f

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Transforming and evaluating the UK Biobank to the OMOP Common Data Model for COVID-19 research and beyond

Autor: Vaclav Papez, Maxim Moinat, Erica A Voss, Sofia Bazakou, Anne Van Winzum, Alessia Peviani, Stefan Payralbe, Elena Garcia Lara, Michael Kallfelz, Folkert W Asselbergs, Daniel Prieto-Alhambra, Richard J B Dobson, Spiros Denaxas

Publikováno v: Journal of the American Medical Informatics Association
Journal of the American Medical Informatics Association, 30(1), 103-111. Oxford University Press

ObjectiveThe coronavirus disease 2019 (COVID-19) pandemic has demonstrated the value of real-world data for public health research. International federated analyses are crucial for informing policy makers. Common data models (CDMs) are critical for e

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a3f762d0e72391fb39d671a8cd2de1df
https://zenodo.org/record/7380350

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Improving the Estimation of Subgroup Effects for Clinical Trial Participants with Multimorbidity by Incorporating Drug Class-Level Information in Bayesian Hierarchical Models: A Simulation Study

Autor: Laura Moss, Laurie J. Hannigan, Elaine Butterly, Nicky J Welton, David Phillippo, David A. McAllister, Peter Hanlon, Neil Hawkins, Sofia Dias

Publikováno v: Medical Decision Making

Background There is limited guidance for using common drug therapies in the context of multimorbidity. In part, this is because their effectiveness for patients with specific comorbidities cannot easily be established using subgroup analyses in clini

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::395be5bbf287aa05d25547e2d8e37f1e
https://pubmed.ncbi.nlm.nih.gov/34407672

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Akademický článek

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Akademický článek

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An Automatic Approach to Extending the Consumer Health Vocabulary

Autor: Jane Greenberg, Joan Boone, Mat Kelly, Sonia M. Pascua, Christopher C. Yang, Heejun Kim, Ou Stella Liang, Michal Monselise

Publikováno v: Journal of Data and Information Science. 6:35-49

Purpose Given the ubiquitous presence of the internet in our lives, many individuals turn to the web for medical information. A challenge here is that many laypersons (as “consumers”) do not use professional terms found in the medical nomenclatur

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c53dd87e41847bad6552b4ff727e72cb
https://doi.org/10.2478/jdis-2021-0003

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Hybrid Reasoning Over Large Knowledge Bases Using On-The-Fly Knowledge Extraction

Autor: Stoilos, Giorgos, Juric, Damir, Wartak, Szymon, Schulz, Claudia, Khodadadi, Mohammad

Publikováno v: The Semantic Web

The success of logic-based methods for comparing entities heavily depends on the axioms that have been described for them in the Knowledge Base (KB). Due to the incompleteness of even large and well engineered KBs, such methods suffer from low recall

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmc_________::dac7f170ec83d2f41ea1b52eedc0db86
http://europepmc.org/articles/PMC7250607

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