How to Predict the Long-term Course of Neurodegenerative Diseases?

Authors

  • Alberto Montolío Marco Universidad de Zaragoza
  • José Cegoñino Banzo
  • Elena García Martín
  • Amaya Pérez del Palomar Aldea

DOI:

https://doi.org/10.26754/jjii3a.4886

Abstract

The aim of this work is to predict the disability state in neurodegenerative disease, such as multiple sclerosis (MS), using clinical batabases and machine learning techniques. This prediction could help clinicians select a more specific treatment for MS patients.

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Published

2020-12-22

How to Cite

Montolío Marco, A., Cegoñino Banzo, J., García Martín, E., & Pérez del Palomar Aldea, A. (2020). How to Predict the Long-term Course of Neurodegenerative Diseases?. Jornada De Jóvenes Investigadores Del I3A, 8. https://doi.org/10.26754/jjii3a.4886

Issue

Vol. 8: Actas de la IX Jornada de Jóvenes Investigadores del I3A - 11 de diciembre de 2020

Section

Artículos (Ingeniería Biomédica)