Memorias de investigación
Communications at congresses:
MedVir: an interactive representation system of multidimensional medical data applied to Traumatic Brain Injury's rehabilitation prediction
Year:2014

Research Areas
  • Biomedicine,
  • Information technology and adata processing,
  • Computer system,
  • Dataprocessing

Information
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.
International
Si
Congress
Joint Rough Set Symposium
960
Place
Madrid - Granada
Reviewers
Si
ISBN/ISSN
Start Date
09/07/2014
End Date
13/07/2014
From page
To page
Participants
  • Autor: Santiago Gonzalez Tortosa UPM
  • Autor: Antonio Gracia Berna UPM
  • Autor: Maria Pilar Herrero Martin UPM
  • Autor: Nazareth Perales Castellanos UPM
  • Autor: Nuria Paúl Lapedriza Universidad Complutense de Madrid

Research Group, Departaments and Institutes related
  • Creador: Departamento: Lenguajes y Sistemas Informáticos e Ingeniería de Software