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

Autores/as

  • 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

Resumen

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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Publicado

2020-12-22