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Visualising time-evolving semantic biomedical data

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Detalhes bibliográficos
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.
Autores principais:Pereira, Arnaldo
Outros Autores:Rafael Almeida, Joao; Lopes, Rui Pedro; Oliveira, José Luís
Assunto:Biomedical data Temporal data Data visualisation Evidence-based medicine Ontology evolution
Ano:2022
País:Portugal
Tipo de documento:comunicação em conferência
Tipo de acesso:acesso aberto
Instituição associada:Instituto Politécnico de Bragança
Idioma:português
Origem:Biblioteca Digital do IPB

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