Observatorio de I+D+i UPM

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 González 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
S2i 2020 Observatorio de investigación @ UPM con la colaboración del Consejo Social UPM
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