Temporal association of neuropsychological test performance using unsupervised learning reveals a distinct signature of Alzheimer's disease status

Temporal association of neuropsychological test performance using unsupervised learning reveals a distinct signature of Alzheimer's disease status

Abstract Introduction Subtle cognitive alterations that precede clinical evidence of cognitive impairment may help predict the progression to Alzheimer's disease (AD). Neuropsychological (NP) testing is an attractive modality for screening early evidence of AD. Methods Longitudinal NP and demog...

Full description

Saved in:
Bibliographic Details
Main Authors: Prajakta S. Joshi, Megan Heydari, Shruti Kannan, Ting Fang Alvin Ang, Qiuyuan Qin, Xue Liu, Jesse Mez, Sherral Devine, Rhoda Au, Vijaya B. Kolachalama
Format: Article
Language:English
Published: Wiley 2019-01-01
Series:Alzheimer’s & Dementia: Translational Research & Clinical Interventions
Subjects:
Alzheimer's disease
Neuropsychological testing
Machine learning
Framingham Heart Study
National Alzheimer's Coordinating Center
Online Access:https://doi.org/10.1016/j.trci.2019.11.006
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1016/j.trci.2019.11.006

Similar Items