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MedVir: An Interactive Representation System of Multidimensional Medical Data Applied to Traumatic Brain Injury’s Rehabilitation Prediction

  • Santiago Gonzalez
  • Antonio Gracia
  • Pilar Herrero
  • Nazareth Castellanos
  • Nuria Paul
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8537)

Abstract

Clinicians could model the brain injury of a patient through his brain activity. However, how this model is defined and how it changes when the patient is recovering are questions yet unanswered. In this paper, the use of MedVir framework is proposed with the aim of answering these questions. Based on complex data mining techniques, this provides not only the differentiation between TBI patients and control subjects (with a 72% of accuracy using 0.632 Bootstrap validation), but also the ability to detect whether a patient may recover or not, and all of that in a quick and easy way through a visualization technique which allows interaction.

Keywords

dimensionality reduction multivariate medical data feature selection data mining visualization interaction virtual reality TBI MEG 

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Santiago Gonzalez
    • 1
  • Antonio Gracia
    • 1
  • Pilar Herrero
    • 1
  • Nazareth Castellanos
    • 2
  • Nuria Paul
    • 3
  1. 1.Computer Science SchoolUniversidad Politécnica de MadridMadridSpain
  2. 2.Center for Biomedical TechnologyUniversidad Politécnica de MadridSpain
  3. 3.Department of Basic Psychology IComplutense University of MadridSpain

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