Publication: A decision tree based approach with sampling techniques to predict the survival status of poly-trauma patients
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Date
2017
Authors
Director
Publisher
Atlantis Press
Acceso abierto / Sarbide irekia
Artículo / Artikulua
Versión publicada / Argitaratu den bertsioa
Project identifier
ES/1PE/TIN2016-77356-P
Abstract
Survival prediction of poly-trauma patients measure the quality of emergency services by comparing their predictions with the real outcomes. The aim of this paper is to tackle this problem applying C4.5 since it achieves accurate results and it provides interpretable models. Furthermore, we use sampling techniques because, among the 378 patients treated at the Hospital of Navarre, the number of survivals excels that of deaths. Logistic regressions are used in the comparison, since they are an standard in this domain.
Keywords
Trauma patients, Survival prediction, Decision trees, Imbalanced classification problems, Sampling Techniques
Department
Automatika eta Konputazioa / Osasun Zientziak / Institute of Smart Cities - ISC / Automática y Computación / Ciencias de la Salud
Faculty/School
Degree
Doctorate program
Editor version
Funding entities
This work was supported in part by the Spanish Ministry of Science and Technology under Projects TIN2016-77356-P and by the Health Department of the Navarre Government under Project PI-019/11.
© 2017, the Authors. This is an open access article under the CC BY-NC license.
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