Aplicación de redes neuronales para evaluar el estado funcional de pacientes con esclerosis múltiple

  1. Janire Otamendi 1
  2. Asier Zubizarreta Pico 1
  3. Itziar Cabanes Axpe 1
  4. Eva Portillo Pérez 1
  1. 1 Universidad del País Vasco/Euskal Herriko Unibertsitatea
    info

    Universidad del País Vasco/Euskal Herriko Unibertsitatea

    Lejona, España

    ROR https://ror.org/000xsnr85

Book:
XLII Jornadas de Automática: libro de actas, Castellón, 1 a 3 de septiembre de 2021

Publisher: Universitat Jaume I ; Servizo de Publicacións ; Universidade da Coruña ; Comité Español de Automática

ISBN: 978-84-9749-804-3

Year of publication: 2021

Pages: 111-118

Congress: Jornadas de Automática (42. 2021. Castellón)

Type: Conference paper

DIALNET GOOGLE SCHOLAR lock_openRUC editor

Abstract

Multiple Sclerosis is a neurological degenerative disease with no cure. However, personalized rehabilitation therapies have demonstrated to be effective to reduce the effect of symptoms and improving this way the life quality of patients. To design such therapies, it is essential to know the functional status of each patient, which is usually a laborious task. For that reason, in this work a status classifier for Multiple Sclerosis patients is developed. Artificial neural networks are used for this task, which work with a database obtained by a Smart Tip for developing a system to determine the functional status of patients.

Data source: Dialnet