Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/39280
Título: | Intelligent decision support to predict patient barotrauma risk in intensive care units |
Autor(es): | Oliveira, Sérgio Manuel Costa Portela, Filipe Santos, Manuel Filipe Machado, José Manuel Abelha, António Silva, Álvaro Rua, Fernando |
Palavras-chave: | INTCare Barotrauma Intensive care Data mining Mechanical ventilation Decision support Probability Patient-centered |
Data: | 2015 |
Editora: | Elsevier 1 |
Revista: | Procedia Computer Science |
Resumo(s): | The occurrence of Barotrauma is identified as a major concern for health professionals, since it can be fatal for patients. In order to support the decision process and to predict the risk of occurring barotrauma Data Mining models were induced. Based on this principle, the present study addresses the Data Mining process aiming to provide hourly probability of a patient has Barotrauma. The process of discovering implicit knowledge in data collected from Intensive Care Units patientswas achieved through the standard process Cross Industry Standard Process for Data Mining. With the goal of making predictions according to the classification approach they several DM techniques were selected: Decision Trees, Naive Bayes and Support Vector Machine. The study was focused on identifying the validity and viability to predict a composite variable. To predict the Barotrauma two classes were created: “risk” and “no risk”. Such target come from combining two variables: Plateau Pressure and PCO2. The best models presented a sensitivity between 96.19% and 100%. In terms of accuracy the values varied between 87.5% and 100%. This study and the achieved results demonstrated the feasibility of predicting the risk of a patient having Barotrauma by presenting the probability associated. |
Tipo: | Artigo em ata de conferência |
URI: | https://hdl.handle.net/1822/39280 |
DOI: | 10.1016/j.procs.2015.08.576 |
ISSN: | 1877-0509 |
Versão da editora: | http://www.sciencedirect.com/science/article/pii/S1877050915027118 |
Arbitragem científica: | yes |
Acesso: | Acesso aberto |
Aparece nas coleções: | CAlg - Artigos em revistas internacionais / Papers in international journals |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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2015 - Elsevier - Intelligent Decision Support to Predict Patient Barotrauma Risk in Intensive Care Units.pdf | 398,5 kB | Adobe PDF | Ver/Abrir |