Analysis of Risk Factors in Dementia Through Machine Learning.

Journal: Journal of Alzheimer's disease : JAD
PMID: 33361594

Abstract

BACKGROUND: Sociodemographic data indicate the progressive increase in life expectancy and the prevalence of Alzheimer's disease (AD). AD is raised as one of the greatest public health problems. Its etiology is twofold: on the one hand, non-modifiable factors and on the other, modifiable.

Authors

  • Francisco Javier Balea-Fernandez
    Universidad de Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain.
  • Beatriz Martinez-Vega
    Research Institute for Applied Microelectronics, Universidad de Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain.
  • Samuel Ortega
    Institute for Applied Microelectronics (IUMA), University of Las Palmas de Gran Canaria (ULPGC), Campus de Tafira, 35017 Las Palmas, Spain. sortega@iuma.ulpgc.es.
  • Himar Fabelo
    Institute for Applied Microelectronics (IUMA), University of Las Palmas de Gran Canaria (ULPGC), Campus de Tafira, 35017 Las Palmas, Spain. hfabelo@iuma.ulpgc.es.
  • Raquel Leon
    Research Institute for Applied Microelectronics, Universidad de Las Palmas de Gran Canaria, Las Palmas de Gran Canaria, Spain.
  • Gustavo M Callico
    Institute for Applied Microelectronics (IUMA), University of Las Palmas de Gran Canaria (ULPGC), Campus de Tafira, 35017 Las Palmas, Spain. gustavo@iuma.ulpgc.es.
  • Cristina Bibao-Sieyro
    Hospital Universitario de Gran Canaria Dr. Negrín, Las Palmas de Gran Canaria, Spain.

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