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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2020
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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. |
format | Online Article Text |
id | pubmed-7771666 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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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