Visualising time-evolving semantic biomedical data

Detalhes bibliográficos
Autor(a) principal: Pereira, Arnaldo
Data de Publicação: 2022
Outros Autores: Rafael Almeida, Joao, Lopes, Rui Pedro, Oliveira, José Luís
Idioma: por
Título da fonte: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Texto Completo: http://hdl.handle.net/10198/25394
Resumo: Today, medical studies enable a deeper understanding of health conditions, diseases and treatments, helping to improve medical care services. In observational studies, an adequate selection of datasets is important, to ensure the study's success and the quality of the results obtained. During the feasibility study phase, inclusion and exclusion criteria are defined, together with specific database characteristics to construct the cohort. However, it is not easy to compare database characteristics and their evolution over time during this selection. Data comparisons can be made using the data properties and aggregations, but the inclusion of temporal information becomes more complex due to the continuous evolution of concepts over time. In this paper, we propose two visualisation methods aiming for a better description of data evolution in clinical registers using biomedical standard vocabularies.
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spelling Visualising time-evolving semantic biomedical dataBiomedical dataTemporal dataData visualisationEvidence-based medicineOntology evolutionToday, medical studies enable a deeper understanding of health conditions, diseases and treatments, helping to improve medical care services. In observational studies, an adequate selection of datasets is important, to ensure the study's success and the quality of the results obtained. During the feasibility study phase, inclusion and exclusion criteria are defined, together with specific database characteristics to construct the cohort. However, it is not easy to compare database characteristics and their evolution over time during this selection. Data comparisons can be made using the data properties and aggregations, but the inclusion of temporal information becomes more complex due to the continuous evolution of concepts over time. In this paper, we propose two visualisation methods aiming for a better description of data evolution in clinical registers using biomedical standard vocabularies.IEEEBiblioteca Digital do IPBPereira, ArnaldoRafael Almeida, JoaoLopes, Rui PedroOliveira, José Luís2022-04-20T14:45:06Z20222022-01-01T00:00:00Zconference objectinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/10198/25394porPereira, Arnaldo; Rafael Almeida, Joao; Lopes, Rui Pedro; Oliveira, José Luís. (2022). Visualising time-evolving semantic biomedical data. 35th International Symposium on Computer-Based Medical Systems (CBMS). p. 1-6. 21-23 July 2022, Shenzen, China. ISBN 978-1-6654-6770-4978-1-6654-6770-42372-9198info:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-02-25T12:16:09Zoai:bibliotecadigital.ipb.pt:10198/25394Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T11:43:34.708233Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv Visualising time-evolving semantic biomedical data
title Visualising time-evolving semantic biomedical data
spellingShingle Visualising time-evolving semantic biomedical data
Pereira, Arnaldo
Biomedical data
Temporal data
Data visualisation
Evidence-based medicine
Ontology evolution
title_short Visualising time-evolving semantic biomedical data
title_full Visualising time-evolving semantic biomedical data
title_fullStr Visualising time-evolving semantic biomedical data
title_full_unstemmed Visualising time-evolving semantic biomedical data
title_sort Visualising time-evolving semantic biomedical data
author Pereira, Arnaldo
author_facet Pereira, Arnaldo
Rafael Almeida, Joao
Lopes, Rui Pedro
Oliveira, José Luís
author_role author
author2 Rafael Almeida, Joao
Lopes, Rui Pedro
Oliveira, José Luís
author2_role author
author
author
dc.contributor.none.fl_str_mv Biblioteca Digital do IPB
dc.contributor.author.fl_str_mv Pereira, Arnaldo
Rafael Almeida, Joao
Lopes, Rui Pedro
Oliveira, José Luís
dc.subject.por.fl_str_mv Biomedical data
Temporal data
Data visualisation
Evidence-based medicine
Ontology evolution
topic Biomedical data
Temporal data
Data visualisation
Evidence-based medicine
Ontology evolution
description Today, medical studies enable a deeper understanding of health conditions, diseases and treatments, helping to improve medical care services. In observational studies, an adequate selection of datasets is important, to ensure the study's success and the quality of the results obtained. During the feasibility study phase, inclusion and exclusion criteria are defined, together with specific database characteristics to construct the cohort. However, it is not easy to compare database characteristics and their evolution over time during this selection. Data comparisons can be made using the data properties and aggregations, but the inclusion of temporal information becomes more complex due to the continuous evolution of concepts over time. In this paper, we propose two visualisation methods aiming for a better description of data evolution in clinical registers using biomedical standard vocabularies.
publishDate 2022
dc.date.none.fl_str_mv 2022-04-20T14:45:06Z
2022
2022-01-01T00:00:00Z
dc.type.driver.fl_str_mv conference object
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10198/25394
url http://hdl.handle.net/10198/25394
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv Pereira, Arnaldo; Rafael Almeida, Joao; Lopes, Rui Pedro; Oliveira, José Luís. (2022). Visualising time-evolving semantic biomedical data. 35th International Symposium on Computer-Based Medical Systems (CBMS). p. 1-6. 21-23 July 2022, Shenzen, China. ISBN 978-1-6654-6770-4
978-1-6654-6770-4
2372-9198
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv IEEE
publisher.none.fl_str_mv IEEE
dc.source.none.fl_str_mv reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron:RCAAP
instname_str FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron_str RCAAP
institution RCAAP
reponame_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
collection Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
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repository.mail.fl_str_mv info@rcaap.pt
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