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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
Descripción
Sumario: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.