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Pervasive and Intelligent Decision Support in Intensive Medicine – The Complete Picture

  • Filipe Portela
  • Manuel Filipe Santos
  • José Machado
  • António Abelha
  • Álvaro Silva
  • Fernando Rua
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8649)

Abstract

In the Intensive Care Units (ICU) it is notorious the high number of data sources available. This situation brings more complexity to the way of how a professional makes a decision based on information provided by those data sources. Normally, the decisions are based on empirical knowledge and common sense. Often, they don’t make use of the information provided by the ICU data sources, due to the difficulty in understanding them. To overcome these constraints an integrated and pervasive system called INTCare has been deployed. This paper is focused in presenting the system architecture and the knowledge obtained by each one of the decision modules: Patient Vital Signs, Critical Events, ICU Medical Scores and Ensemble Data Mining. This system is able to make hourly predictions in terms of organ failure and outcome. High values of sensitivity where reached, e.g. 97.95% for the cardiovascular system, 99.77% for the outcome. In addition, the system is prepared for tracking patients’ critical events and for evaluating medical scores automatically and in real-time.

Keywords

Critical Event Technology Acceptance Model Therapeutic Intervention Scoring System Modify Early Warning Score Data Mining Model 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Filipe Portela
    • 1
  • Manuel Filipe Santos
    • 1
  • José Machado
    • 2
  • António Abelha
    • 2
  • Álvaro Silva
    • 3
  • Fernando Rua
    • 3
  1. 1.Algoritmi CentreUniversity of MinhoPortugal
  2. 2.CCTCUniversity of MinhoPortugal
  3. 3.Serviço Cuidados Intensivos, Centro Hospitalar do PortoHospital Santo AntónioPortugal

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