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Title: A Data-Driven Approach for Analyzing Healthcare Services Extracted from Clinical Records
Authors: Scurti, ManuelMenasalvas-Ruiz, ErnestinaVidal, Maria-EstherTorrente, MariaVogiatzis, DimitriosPaliouras, GeorgeProvencio, MarianoRodríguez-González, Alejandro
Editors: Seco de Herrera, Alba GarcíaRodríguez González, AlejandroSantosh, K.C.Temesgen, ZelalemSoda, Paolo
Publishers version: https://doi.org/10.1109/CBMS49503.2020.00044
URI: https://oa.tib.eu/renate/handle/123456789/6158
https://doi.org/10.34657/5206
Issue Date: 2020
Book: Proceedings of the 2020 IEEE 33rd International Symposium on Computer-Based Medical Systems (CBMS)
Publisher: Piscataway, NJ : IEEE
Abstract: Cancer remains one of the major public health challenges worldwide. After cardiovascular diseases, cancer is one of the first causes of death and morbidity in Europe, with more than 4 million new cases and 1.9 million deaths per year. The suboptimal management of cancer patients during treatment and subsequent follows up are major obstacles in achieving better outcomes of the patients and especially regarding cost and quality of life In this paper, we present an initial data-driven approach to analyze the resources and services that are used more frequently by lung-cancer patients with the aim of identifying where the care process can be improved by paying a special attention on services before diagnosis to being able to identify possible lung-cancer patients before they are diagnosed and by reducing the length of stay in the hospital. Our approach has been built by analyzing the clinical notes of those oncological patients to extract this information and their relationships with other variables of the patient. Although the approach shown in this manuscript is very preliminary, it shows that quite interesting outcomes can be derived from further analysis. © 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Keywords: data-driven; lung cancer; patient management; EHR; hospitalization processes
Type: bookPart; conferenceObject; Text
Publishing status: acceptedVersion
DDC: 004
610
License: Es gilt deutsches Urheberrecht. Das Dokument darf zum eigenen Gebrauch kostenfrei genutzt, aber nicht im Internet bereitgestellt oder an Außenstehende weitergegeben werden.
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Scurti, Manuel, Ernestina Menasalvas-Ruiz, Maria-Esther Vidal, Maria Torrente, Dimitrios Vogiatzis, George Paliouras, Mariano Provencio and Alejandro Rodríguez-González, 2020. A Data-Driven Approach for Analyzing Healthcare Services Extracted from Clinical Records. In: (Hrsg.)Alba García Seco de Herrera, Alejandro Rodríguez González, K.C. Santosh, Zelalem Temesgen and Paolo Soda. Piscataway, NJ : IEEE. ISBN 978-1-7281-9429-5
Scurti, M., Menasalvas-Ruiz, E., Vidal, M.-E., Torrente, M., Vogiatzis, D., Paliouras, G., Provencio, M. and Rodríguez-González, A. (2020) “A Data-Driven Approach for Analyzing Healthcare Services Extracted from Clinical Records.” Piscataway, NJ : IEEE. doi: https://doi.org/10.1109/CBMS49503.2020.00044.
Scurti M, Menasalvas-Ruiz E, Vidal M-E, Torrente M, Vogiatzis D, Paliouras G, Provencio M, Rodríguez-González A. A Data-Driven Approach for Analyzing Healthcare Services Extracted from Clinical Records. In: , editorSeco de Herrera A G, Rodríguez González A, Santosh K C, Temesgen Z, Soda P. Piscataway, NJ : IEEE; 2020.
Scurti, M., Menasalvas-Ruiz, E., Vidal, M.-E., Torrente, M., Vogiatzis, D., Paliouras, G., Provencio, M., & Rodríguez-González, A. (2020). A Data-Driven Approach for Analyzing Healthcare Services Extracted from Clinical Records. Piscataway, NJ : IEEE. https://doi.org/https://doi.org/10.1109/CBMS49503.2020.00044
Scurti M, Menasalvas-Ruiz E, Vidal M-E, Torrente M, Vogiatzis D, Paliouras G, Provencio M, Rodríguez-González A. A Data-Driven Approach for Analyzing Healthcare Services Extracted from Clinical Records. In: , ed.Seco de Herrera A G, Rodríguez González A, Santosh K C, Temesgen Z, Soda P Piscataway, NJ : IEEE; 2020. doi:https://doi.org/10.1109/CBMS49503.2020.00044


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