Observatorio de I+D+i UPM

Memorias de investigación
Artículos en revistas:
Data Mining Applied to the Cognitive Rehabilitation of Patients with Acquired Brain Injury
Año:2012
Áreas de investigación
  • Medicina,
  • Informática aplicada,
  • Informática médica,
  • Tratamiento de datos,
  • Base de datos
Datos
Descripción
Acquired brain injury (ABI) is one of the leading causes of death and disability in the world and is associated with high health care costs as a result of the acute treatment and long term rehabilitation involved. Different algorithms and methods have been proposed to predict the effectiveness of rehabilitation programs. In general, research has focused on predicting the overall improvement of patients with ABI. The purpose of this study is the novel application of data mining (DM) techniques to predict the outcomes of cognitive rehabilitation in patients with ABI. We generate three predictive models that allow us to obtain new knowledge to evaluate and improve the effectiveness of the cognitive rehabilitation process. Decision tree (DT), multilayer perceptron (MLP) and general regression neural network (GRNN) have been used to construct the prediction models. 10-fold cross validation was carried out in order to test the algorithms, using the Institut Guttmann Neurorehabilitation Hospital (IG) patients database. Performance of the models was tested through specificity, sensitivity and accuracy analysis and confusion matrix analysis. The experimental results obtained by DT are clearly superior with a prediction average accuracy of 90.38%, while MLP and GRRN obtained a 78.7% and 75.96%, respectively. This study allows to increase the knowledge about the contributing factors of an ABI patient recovery and to estimate treatment efficacy in individual patients.
Internacional
Si
JCR del ISI
Si
Título de la revista
Expert Systems With Applications
ISSN
0957-4174
Factor de impacto JCR
1,924
Información de impacto
Datos JCR del año 2010
Volumen
DOI
10.1016/j.eswa.2012.08.034
Número de revista
Desde la página
1054
Hasta la página
1060
Mes
SIN MES
Ranking
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Alexis Enrique Marcano Cedeño (UPM)
  • Autor: Paloma Chausa Fernández (UPM)
  • Autor: Alejandro García (Institut Guttmann)
  • Autor: César Cáceres Taladriz (UPM)
  • Autor: Jose María Tormos (Institut Guttmann)
  • Autor: Enrique Javier Gomez Aguilera (UPM)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Departamento: Tecnología Fotónica y Bioingeniería
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