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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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Detalles Bibliográficos
Autores principales: Zaballa, Onintze, Pérez, Aritz, Gómez Inhiesto, Elisa, Acaiturri Ayesta, Teresa, Lozano, Jose A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7771666/
https://www.ncbi.nlm.nih.gov/pubmed/33373363
http://dx.doi.org/10.1371/journal.pone.0244004
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author Zaballa, Onintze
Pérez, Aritz
Gómez Inhiesto, Elisa
Acaiturri Ayesta, Teresa
Lozano, Jose A.
author_facet Zaballa, Onintze
Pérez, Aritz
Gómez Inhiesto, Elisa
Acaiturri Ayesta, Teresa
Lozano, Jose A.
author_sort Zaballa, Onintze
collection PubMed
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.
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spelling pubmed-77716662021-01-08 Identifying common treatments from Electronic Health Records with missing information. An application to breast cancer Zaballa, Onintze Pérez, Aritz Gómez Inhiesto, Elisa Acaiturri Ayesta, Teresa Lozano, Jose A. PLoS One Research Article 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. Public Library of Science 2020-12-29 /pmc/articles/PMC7771666/ /pubmed/33373363 http://dx.doi.org/10.1371/journal.pone.0244004 Text en © 2020 Zaballa et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Zaballa, Onintze
Pérez, Aritz
Gómez Inhiesto, Elisa
Acaiturri Ayesta, Teresa
Lozano, Jose A.
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
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_short 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
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7771666/
https://www.ncbi.nlm.nih.gov/pubmed/33373363
http://dx.doi.org/10.1371/journal.pone.0244004
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