Predicting plateau pressure in intensive medicine for ventilated patients
Data(s) |
2015
31/12/1969
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Resumo |
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 cm This work has been supported by FCT - Fundação para a Ciência e Tecnologia within the Project Scope UID/CEC/00319/2013. The authors would like to thank FCT (Foundation of Science and Technology, Portugal) for the financial support through the contract PTDC/EEI-SII/1302/2012 (INTCare II). |
Identificador |
Oliveira, 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). 978-3-319-16527-1 978-3-319-16528-8 http://hdl.handle.net/1822/39036 10.1007/978-3-319-16528-8_17 |
Idioma(s) |
eng |
Publicador |
Springer |
Relação |
info:eu-repo/grantAgreement/FCT/5876/147280/PT info:eu-repo/grantAgreement/FCT/5876-PPCDTI/126314/PT |
Direitos |
info:eu-repo/semantics/embargoedAccess |
Palavras-Chave | #Barotrauma #Plateau Pressure #Intensive Medicine #Data Mining #INTCare #Mechanical Ventilation |
Tipo |
info:eu-repo/semantics/conferenceObject |