Alzheimer's Disease stage identification using deep learning models.

Journal: Journal of biomedical informatics
Published Date: Jul 23, 2020

Abstract

OBJECTIVE: The aim of this research is to identify the stage of Alzheimer's Disease (AD) patients through the use of mobility data and deep learning models. This process facilitates the monitoring of the disease and allows actions to be taken in order to provide the optimal treatment and the prevention of complications.

Authors

  • Santos Bringas
    Fundación Centro Tecnológico de Componentes CTC, 39011 Santander, Spain. Electronic address: sbringas@centrotecnologicoctc.com.
  • Sergio Salomón
    Axpe Consulting Cantabria SL, 39600 Camargo, Spain. Electronic address: ssalomong@axpecantabria.com.
  • Rafael Duque
    Department of Mathematics, Statistics and Computer Science, Universidad de Cantabria, 39005 Santander, Spain. Electronic address: rafael.duque@unican.es.
  • Carmen Lage
    Cognitive Disorders Unit, Department of Neurology, Marqués de Valdecilla University Hospital (HUMV), Valdecilla Biomedical Research Institute (IDIVAL), 39008 Santander, Spain. Electronic address: clage@idival.org.
  • José Luis Montaña
    Department of Mathematics, Statistics and Computer Science, Universidad de Cantabria, 39005 Santander, Spain. Electronic address: joseluis.montana@unican.es.

Keywords

External Resources

Popular Topics
Recent Journals