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Quality analysis of a breast thermal images database

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dc.contributor.authorPérez Martín, Jorge::virtual::28::600
dc.contributor.authorSánchez Cauce, Raquel
dc.contributor.authorPérez Martín, Jorge
dc.contributor.authorPérez Martín, Jorge
dc.contributor.authorPérez Martín, Jorge
dc.contributor.orcidhttps://orcid.org/0000-0002-1128-3988
dc.date.accessioned2024-05-28T17:14:01Z
dc.date.available2024-05-28T17:14:01Z
dc.date.issued2023-02-02
dc.descriptionThe registered version of this article, first published in REVISTA, is available online at the publisher's website: EDITOR, https://doi.org/10.1177/14604582231153779
dc.descriptionLa versión registrada de este artículo, publicado por primera vez en REVISTA, está disponible en línea en el sitio web del editor: EDITOR, https://doi.org/10.1177/14604582231153779
dc.description.abstractThe study and early detection of breast cancer are key for its treatment. We carry out an exhaustive analysis of the most used database for mastology research with infrared images, analyzing the anomalies according to five quality dimensions: completeness, correctness, concordance, plausibility, and currency. We established control queries that looked for these anomalies and that can be used to ensure the quality of the database. Finally, we briefly review the more than 40 papers that use this database and that do not mention any of these anomalies. When analyzing the database, we found 365 anomalies related to personal and clinical data, and thermal images. The errors found in our research may lead to a modification of the results and conclusions made in the articles found in the literature, serve as a basis for improvements in the quality of the database, and help future researchers to work with it.es
dc.description.versionversión publicada
dc.identifier.citationPérez-Martín J, Sánchez-Cauce R. Quality analysis of a breast thermal images database. Health Informatics Journal. 2023;29(1). doi:10.1177/14604582231153779
dc.identifier.doihttps://doi.org/10.1177/14604582231153779
dc.identifier.issn1460-4582 - eISSN 1741-2811
dc.identifier.urihttps://hdl.handle.net/20.500.14468/22200
dc.journal.issue1
dc.journal.titleHealth Informatics Journal
dc.journal.volume29
dc.language.isoen
dc.publisherSage Journals
dc.relation.centerE.T.S. de Ingeniería Informática
dc.relation.departmentInteligencia Artificial
dc.relation.researchgroupSistemas inteligentes de ayuda a la decisión
dc.rights.urihttps://creativecommons.org/licenses/by-nc/4.0/deed.es
dc.subject32 Ciencias Médicas ::3212 Salud pública
dc.subject33 Ciencias Tecnológicas
dc.subject.keywordsbreast canceren
dc.subject.keywordsthermal imagesen
dc.subject.keywordsquality of dataen
dc.subject.keywordsthermographyen
dc.subject.keywordsthermogramen
dc.titleQuality analysis of a breast thermal images databasees
dc.typejournal articleen
dc.typeartículoes
dspace.entity.typePublication
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