Identifying common treatments from Electronic Health Records with missing information. An application to breast cancer.

The 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...

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Authors: Zaballa, O., Pérez, A., Gómez-Inhiesto, E., Acaiturri-Ayesta, T., Lozano, J.A.
Format: article
Status:Versión enviada para evaluación y publicación
Publication Date:2020
Country:España
Institution:Basque Center for Applied Mathematics (BCAM)
Repository:BIRD. BCAM's Institutional Repository Data
OAI Identifier:oai:bird.bcamath.org:20.500.11824/1247
Online Access:http://hdl.handle.net/20.500.11824/1247
Access Level:Open access
Keyword:Sequence classification
Electronic Health Records
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spelling Identifying common treatments from Electronic Health Records with missing information. An application to breast cancer.Zaballa, O.Pérez, A.Gómez-Inhiesto, E.Acaiturri-Ayesta, T.Lozano, J.A.Sequence classificationElectronic Health RecordsThe 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.Artificial Intelligence in BCAM number EXP. 2019/00432, PID2019-104966GB-I00, TIN2016-78365-R, IT1244-19.202120212020info:eu-repo/semantics/articleinfo:eu-repo/semantics/submittedVersionapplication/pdfhttp://hdl.handle.net/20.500.11824/1247reponame:BIRD. BCAM's Institutional Repository Datainstname:Basque Center for Applied Mathematics (BCAM)Ingléshttps://journals.plos.org/plosone/article?id=10.1371/journal.pone.0244004info:eu-repo/grantAgreement/MINECO//SEV-2017-0718info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/TIN2017-82626-Rinfo:eu-repo/grantAgreement/Gobierno Vasco/BERC/BERC.2018-2021info:eu-repo/grantAgreement/Gobierno Vasco/ELKARTEK/Reconocimiento-NoComercial-CompartirIgual 3.0 Españahttp://creativecommons.org/licenses/by-nc-sa/3.0/es/info:eu-repo/semantics/openAccessoai:bird.bcamath.org:20.500.11824/12472026-06-19T12:47:47Z
dc.title.none.fl_str_mv Identifying common treatments from Electronic Health Records with missing information. An application to breast cancer.
title Identifying common treatments from Electronic Health Records with missing information. An application to breast cancer.
spellingShingle Identifying common treatments from Electronic Health Records with missing information. An application to breast cancer.
Zaballa, O.
Sequence classification
Electronic Health Records
title_short Identifying common treatments from Electronic Health Records with missing information. An application to breast cancer.
title_full Identifying common treatments from Electronic Health Records with missing information. An application to breast cancer.
title_fullStr Identifying common treatments from Electronic Health Records with missing information. An application to breast cancer.
title_full_unstemmed Identifying common treatments from Electronic Health Records with missing information. An application to breast cancer.
title_sort Identifying common treatments from Electronic Health Records with missing information. An application to breast cancer.
dc.creator.none.fl_str_mv Zaballa, O.
Pérez, A.
Gómez-Inhiesto, E.
Acaiturri-Ayesta, T.
Lozano, J.A.
author Zaballa, O.
author_facet Zaballa, O.
Pérez, A.
Gómez-Inhiesto, E.
Acaiturri-Ayesta, T.
Lozano, J.A.
author_role author
author2 Pérez, A.
Gómez-Inhiesto, E.
Acaiturri-Ayesta, T.
Lozano, J.A.
author2_role author
author
author
author
dc.subject.none.fl_str_mv Sequence classification
Electronic Health Records
topic Sequence classification
Electronic Health Records
description The 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.
publishDate 2020
dc.date.none.fl_str_mv 2020
2021
2021
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/submittedVersion
format article
status_str submittedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/20.500.11824/1247
url http://hdl.handle.net/20.500.11824/1247
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0244004
info:eu-repo/grantAgreement/MINECO//SEV-2017-0718
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/TIN2017-82626-R
info:eu-repo/grantAgreement/Gobierno Vasco/BERC/BERC.2018-2021
info:eu-repo/grantAgreement/Gobierno Vasco/ELKARTEK/
dc.rights.none.fl_str_mv Reconocimiento-NoComercial-CompartirIgual 3.0 España
http://creativecommons.org/licenses/by-nc-sa/3.0/es/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Reconocimiento-NoComercial-CompartirIgual 3.0 España
http://creativecommons.org/licenses/by-nc-sa/3.0/es/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:BIRD. BCAM's Institutional Repository Data
instname:Basque Center for Applied Mathematics (BCAM)
instname_str Basque Center for Applied Mathematics (BCAM)
reponame_str BIRD. BCAM's Institutional Repository Data
collection BIRD. BCAM's Institutional Repository Data
repository.name.fl_str_mv
repository.mail.fl_str_mv
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