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dc.contributor.authorZaballa, O. 
dc.contributor.authorPérez, A. 
dc.contributor.authorGómez-Inhiesto, E.
dc.contributor.authorAcaiturri-Ayesta, T.
dc.contributor.authorLozano, J.A. 
dc.date.accessioned2021-02-05T12:23:11Z
dc.date.available2021-02-05T12:23:11Z
dc.date.issued2020-12-29
dc.identifier.issn1932-6203
dc.identifier.urihttp://hdl.handle.net/20.500.11824/1247
dc.description.abstractThe aim of this paper is to analyze the sequence of actions in the health system associated with a particular disease. In order to do that, using Electronic Health Records, we define a general methodology that allows us to: (I) identify the actions in the health system associated with a disease; (ii) identify those patients with a complete treatment for the disease; (iii) and discover common treatment pathways followed by the patients with a specific diagnosis. The methodology takes into account the characteristics of the EHRs, such as record heterogeneity and missing information. As an example, we use the proposed methodology to analyze breast cancer disease. For this diagnosis, 5 groups of treatments, which fit in with medical practice guidelines and expert knowledge, were obtained.en_US
dc.description.sponsorshipArtificial Intelligence in BCAM number EXP. 2019/00432, PID2019-104966GB-I00, TIN2016-78365-R, IT1244-19.en_US
dc.formatapplication/pdfen_US
dc.language.isoengen_US
dc.rightsReconocimiento-NoComercial-CompartirIgual 3.0 Españaen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/es/en_US
dc.subjectSequence classificationen_US
dc.subjectElectronic Health Recordsen_US
dc.titleIdentifying common treatments from Electronic Health Records with missing information. An application to breast cancer.en_US
dc.typeinfo:eu-repo/semantics/articleen_US
dc.identifier.doi10.1371/journal.pone.0244004
dc.relation.publisherversionhttps://journals.plos.org/plosone/article?id=10.1371/journal.pone.0244004en_US
dc.relation.projectIDES/1PE/SEV-2017-0718en_US
dc.relation.projectIDES/1PE/TIN2017-82626-Ren_US
dc.relation.projectIDEUS/BERC/BERC.2018-2021en_US
dc.relation.projectIDEUS/ELKARTEKen_US
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessen_US
dc.type.hasVersioninfo:eu-repo/semantics/submittedVersionen_US
dc.journal.titlePLOS ONEen_US


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Reconocimiento-NoComercial-CompartirIgual 3.0 España
Except where otherwise noted, this item's license is described as Reconocimiento-NoComercial-CompartirIgual 3.0 España