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TitlePredicting plateau pressure in intensive medicine for ventilated patients
Author(s)Oliveira, Sérgio
Portela, Filipe
Santos, Manuel
Machado, José Manuel
Abelha, António
Silva, Álvaro
Rua, Fernando
Plateau Pressure
Intensive Medicine
Data Mining
Mechanical Ventilation
Issue date2015
JournalAdvances in Intelligent Systems and Computing
CitationOliveira, S., Portela, F., Santos, M. F., Machado, J., Abelha, A., Silva, Á., & Rua, F. (2015) Predicting plateau pressure in intensive medicine for ventilated patients. Vol. 354. Advances in Intelligent Systems and Computing (pp. 179-188).
Abstract(s)Barotrauma is identified as one of the leading diseases in Ventilated Patients. This type of problem is most common in the Intensive Care Units. In order to prevent this problem the use of Data Mining (DM) can be useful for predicting their occurrence. The main goal is to predict the occurence of Barotrauma in order to support the health professionals taking necessary precautions. In a first step intensivists identified the Plateau Pressure values as a possible cause of Barotrauma. Through this study DM models (classification) where induced for predicting the Plateau Pressure class (>=30 cm𝐻2O) in a real environment and using real data. The present study explored and assessed the possibility of predicting the Plateau pressure class with high accuracies. The dataset used only contained data provided by the ventilators. The best models are able to predict the Plateau Pressure with an accuracy ranging from 95.52% to 98.71%.
TypeConference paper
AccessOpen access
Appears in Collections:CCTC - Artigos em revistas internacionais
CAlg - Livros e capítulos de livros/Books and book chapters

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