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dc.contributor.authorPiñeiro Lamas, Beatriz
dc.contributor.authorLópez-Cheda, Ana
dc.contributor.authorCao, Ricardo
dc.contributor.authorRamos-Alonso, Laura
dc.contributor.authorGonzález-Barbeito, Gabriel
dc.contributor.authorBarbeito Caamaño, Cayetana
dc.contributor.authorBouzas-Mosquera, Alberto
dc.date.accessioned2023-12-22T16:37:08Z
dc.date.available2023-12-22T16:37:08Z
dc.date.issued2023
dc.identifier.citationPiñeiro-Lamas, B., López-Cheda, A., Cao, R. et al. A cardiotoxicity dataset for breast cancer patients. Sci Data 10, 527 (2023). https://doi.org/10.1038/s41597-023-02419-1es_ES
dc.identifier.issn2052-4463
dc.identifier.urihttp://hdl.handle.net/2183/34613
dc.description.abstract[Abstract] This dataset is a result of the collaboration between the University of A Coruña and the University Hospital of A Coruña. It contains information about 531 women diagnosed with HER2+ breast cancer, treated with potentially cardiotoxic oncologic therapies. These treatments can cause cardiovascular adverse events, including cardiac systolic dysfunction, the development of which has important clinical and prognostic implications. The availability of good predictors may enable early detection of these cardiac problems. Variables such as age, weight and height are available for each patient, as well as some measures obtained from echocardiography, a technique used prior and during the treatment to check the structure and function of the heart. Among them, there is a functional variable that measures the myocardial velocity during the cardiac cycle. For patients that experienced cancer therapy-related cardiac dysfunction during the treatment period, time until its appearance is known. This dataset aims to enable the scientific community in conducting new research on this cardiovascular side effect.es_ES
dc.description.sponsorshipB.P.L. was sponsored by Axudas Predoutorais da Xunta de Galicia, with reference ED481A-2020/290. A.L.C. was sponsored by the BEATRIZ GALINDO JUNIOR Spanish Grant from MICINN (Ministerio de Ciencia e Innovación) with code BGP18/00154. B.P.L., A.L.C. and R.C. acknowledge partial support by the MICINN Grant PID2020-113578RB-I00 and partial support of Xunta de Galicia (Grupos de Referencia Competitiva ED431C-2020-14). B.P.L., A.L.C. and R.C. acknowledge the support received from the Centro de Investigación de Galicia “CITIC”, funded by Xunta de Galicia and the European Union European Regional Development Fund (ERDF)-Galicia 2014–2020 Program, Grant ED431G 2019/01.es_ES
dc.description.sponsorshipXunta de Galicia; ED481A-2020/290es_ES
dc.description.sponsorshipXunta de Galicia; ED431C-2020-14es_ES
dc.description.sponsorshipXunta de Galicia; ED431G 2019/01es_ES
dc.language.isoenges_ES
dc.publisherNature Researches_ES
dc.relationinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-113578RB-I00/ES/METODOS ESTADISTICOS FLEXIBLES EN CIENCIA DE DATOS PARA DATOS COMPLEJOS Y DE GRAN VOLUMEN: TEORIA Y APLICACIONESes_ES
dc.relationinfo:eu-repo/grantAgreement/MECD/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/BEAGAL18%2F00143/ES/es_ES
dc.relation.urihttps://doi.org/10.1038/s41597-023-02419-1es_ES
dc.rightsAtribución 4.0 Internacionales_ES
dc.rightsThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.es_ES
dc.rights© The Author(s) 2023es_ES
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectBreast canceres_ES
dc.subjectImage Processinges_ES
dc.titleA cardiotoxicity dataset for breast cancer patientses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.accessinfo:eu-repo/semantics/openAccesses_ES
UDC.journalTitleScientific Dataes_ES
UDC.volume10es_ES
UDC.issue527es_ES
dc.identifier.doi10.1038/s41597-023-02419-1


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