MedVir: an interactive representation system of multidimensional medical data applied to Traumatic Brain Injury's rehabilitation prediction

González Tortosa, Santiago and Gracia Berna, Antonio and Herrero Martín, María del Pilar and Perales Castellanos, Nazareth and Paul Lapedriza, Nuria (2014). MedVir: an interactive representation system of multidimensional medical data applied to Traumatic Brain Injury's rehabilitation prediction. In: "Second International Conference on Rough Sets and Intelligent Systems Paradigms", 9-13 Jul 2014, Madrid y Granada. ISBN 978-3-319-08728-3. pp. 248-257.

Description

Title: MedVir: an interactive representation system of multidimensional medical data applied to Traumatic Brain Injury's rehabilitation prediction
Author/s:
  • González Tortosa, Santiago
  • Gracia Berna, Antonio
  • Herrero Martín, María del Pilar
  • Perales Castellanos, Nazareth
  • Paul Lapedriza, Nuria
Item Type: Presentation at Congress or Conference (Unspecified)
Event Title: Second International Conference on Rough Sets and Intelligent Systems Paradigms
Event Dates: 9-13 Jul 2014
Event Location: Madrid y Granada
Title of Book: Rough sets and intelligent systems paradigms
Date: 2014
ISBN: 978-3-319-08728-3
Subjects:
Freetext Keywords: Dimensionality reduction; Multivariate medical data; Feature selection; Data mining; Visualization; Interaction; Virtual reality; TBI; MEG
Faculty: E.T.S. de Ingenieros Informáticos (UPM)
Department: Inteligencia Artificial
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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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.

More information

Item ID: 37580
DC Identifier: http://oa.upm.es/37580/
OAI Identifier: oai:oa.upm.es:37580
Official URL: http://link.springer.com/chapter/10.1007%2F978-3-319-08729-0_24
Deposited by: Memoria Investigacion
Deposited on: 11 Feb 2016 12:01
Last Modified: 14 Nov 2017 09:56
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