Neuropsychological test selection for cognitive impairment classification: A machine learning approach.

Journal: Journal of clinical and experimental neuropsychology
Published Date: Jan 1, 2015

Abstract

INTRODUCTION: Reducing the amount of testing required to accurately detect cognitive impairment is clinically relevant. The aim of this research was to determine the fewest number of clinical measures required to accurately classify participants as healthy older adult, mild cognitive impairment (MCI), or dementia using a suite of classification techniques.

Authors

  • Alyssa Weakley
    a Department of Psychology , Washington State University , Pullman , WA , USA.
  • Jennifer A Williams
  • Maureen Schmitter-Edgecombe
    Department of Psychology, Washington State University.
  • Diane J Cook
    Washington State University, School of Electrical Engineering and Computer Science in Pullman.

Keywords

External Resources

Popular Topics
Recent Journals