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Predicting Plateau Pressure in Intensive Medicine for Ventilated Patients

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Abstract

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%.

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Author information

Authors and Affiliations

  1. Algoritmi Centre, University of Minho, Braga, Portugal

    Sérgio Oliveira, Filipe Portela, Manuel Filipe Santos, José Machado & António Abelha

  2. Intensive Care Unit, Centro Hospitalar do Porto, Porto, Portugal

    Álvaro Silva & Fernando Rua

Authors
  1. Sérgio Oliveira

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  2. Filipe Portela

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  3. Manuel Filipe Santos

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  4. José Machado

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  5. António Abelha

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  6. Álvaro Silva

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  7. Fernando Rua

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Corresponding author

Correspondence toSérgio Oliveira.

Editor information

Editors and Affiliations

  1. DEI/FCT, Universidade de Coimbra, Coimbra, Portugal

    Alvaro Rocha

  2. Instituto Superior de Estatística e Gestão de Informação, Universidade Nova de Lisboa Instituto Superior de Estatistica, Lisboa, Portugal

    Ana Maria Correia

  3. DEIS, Università della Calabria, Arcavacata di Rende, Italy

    Sandra Costanzo

  4. DIS, Universidade do Minho, Guimarães, Portugal

    Luis Paulo Reis

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© 2015 Springer International Publishing Switzerland

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Oliveira, S.et al. (2015). Predicting Plateau Pressure in Intensive Medicine for Ventilated Patients. In: Rocha, A., Correia, A., Costanzo, S., Reis, L. (eds) New Contributions in Information Systems and Technologies. Advances in Intelligent Systems and Computing, vol 354. Springer, Cham. https://doi.org/10.1007/978-3-319-16528-8_17

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JPY 11439
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