Using data science to diagnose and characterize heterogeneity of Alzheimer's disease

Using data science to diagnose and characterize heterogeneity of Alzheimer's disease

Abstract Introduction Despite the availability of age‐ and education‐adjusted standardized scores for most neuropsychological tests, there is a lack of objective rules in how to interpret multiple concurrent neuropsychological test scores that characterize the heterogeneity of Alzheimer's disea...

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Main Authors: Ting F.A. Ang, Ning An, Huitong Ding, Sherral Devine, Sanford H. Auerbach, Joseph Massaro, Prajakta Joshi, Xue Liu, Yulin Liu, Elizabeth Mahon, Rhoda Au, Honghuang Lin
Format: Article
Language:English
Published: Wiley 2019-01-01
Series:Alzheimer’s & Dementia: Translational Research & Clinical Interventions
Subjects:
Alzheimer's disease
Dementia
Machine‐learning
Decision tree
Neuropsychological assessment
Dementia screening
Online Access:https://doi.org/10.1016/j.trci.2019.05.002
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https://doi.org/10.1016/j.trci.2019.05.002

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