Episodic-Memory Performance in Machine Learning Modeling for Predicting Cognitive Health Status Classification.

Journal: Journal of Alzheimer's disease : JAD
Published Date: Jan 1, 2019

Abstract

BACKGROUND: Memory dysfunction is characteristic of aging and often attributed to Alzheimer's disease (AD). An easily administered tool for preliminary assessment of memory function and early AD detection would be integral in improving patient management.

Authors

  • Michael F Bergeron
    SIVOTEC Analytics, Boca Raton, FL, USA.
  • Sara Landset
    Department of Computer and Electrical Engineering and Computer Science, Florida Atlantic University, Boca Raton, FL, USA.
  • Franck Tarpin-Bernard
    HAPPYneuron, S.A.S., Lyon, France.
  • Curtis B Ashford
    MemTrax, LLC., Redwood City, CA, USA.
  • Taghi M Khoshgoftaar
    Florida Atlantic University, United States. Electronic address: khoshgof@fau.edu.
  • J Wesson Ashford
    War-Related Illness and Injury Study Center, VA Palo Alto Health Care System and Department of Psychiatry & Behavioral Sciences, Stanford University School of Medicine, Palo Alto, CA, USA.

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