Association Rule Learning in the Analysis of Neuropsychological Data for Alzheimer's Disease

Virtual · June 2020

Poster Sessions · Biological/Neuroscience

Keith Happawana
US Air Force (Wright-Patterson AFB), William Paterson University
Zachary Gerdes
US Air Force (Wright-Patterson AFB)
LaTosha Ramos Lake
US Air Force (Wright-Patterson AFB)
John Skicki
US Air Force (Wright-Patterson AFB)
Bruce Diamond
William Paterson University

Abstract

This study explores and demonstrates the use of association rule learning (FP Growth) as a new method to analyze neuropsychological assessment data.

Neuropsychology

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Association Rule Learning in the Analysis of Neuropsychological Data for Alzheimer's Disease

Abstract

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