Differentiating Patients at the Memory Clinic With Simple Reaction Time Variables: A Predictive Modeling Approach Using Support Vector Machines and Bayesian Optimization

Differentiating Patients at the Memory Clinic With Simple Reaction Time Variables: A Predictive Modeling Approach Using Support Vector Machines and Bayesian Optimization

Background: Mild Cognitive Impairment (MCI) and dementia differ in important ways yet share a future of increased prevalence. Separating these conditions from each other, and from Subjective Cognitive Impairment (SCI), is important for clinical prognoses and treatment, socio-legal interventions, and...

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Bibliographic Details
Main Authors: John Wallert, Eric Westman, Johnny Ulinder, Mathilde Annerstedt, Beata Terzis, Urban Ekman
Format: Article
Language:English
Published: Frontiers Media S.A. 2018-05-01
Series:Frontiers in Aging Neuroscience
Subjects:
cognitive impairment
dementia
elderly patients
simple reaction time variables
supervised machine learning
Online Access:https://www.frontiersin.org/article/10.3389/fnagi.2018.00144/full

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https://www.frontiersin.org/article/10.3389/fnagi.2018.00144/full

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