Background The aim of this study is to use classification methods to predict future onset of
Alzheimer's disease in cognitively normal subjects through automated linguistic analysis …

Background The manual diagnosis of neurodegenerative disorders such as Alzheimer's
disease (AD) and related Dementias has been a challenge. Currently, these disorders are …

Introduction Automated computational assessment of neuropsychological tests would
enable widespread, cost‐effective screening for dementia. Methods A novel natural …

Background: Language is a valuable source of clinical information in Alzheimer's disease,
as it declines concurrently with neurodegeneration. Consequently, speech and language …

Changes in some lexical features of language have been associated with the onset and
progression of Alzheimer's disease. Here we describe a method to extract key features from …

Early diagnosis of neurodegenerative disorders (ND) such as Alzheimer's disease (AD) and
related Dementias is currently a challenge. Currently, AD can only be diagnosed by …

Background: Although memory impairment is the main symptom of Alzheimer's disease
(AD), language impairment can be an important marker. Relatively few studies of language …

Despite the many studies examining linguistic deterioration in Alzheimer's disease (AD),
very little is known about changes in verbal expression during the preclinical phase of this …

Although an insidious history of episodic memory difficulty is a typical presenting symptom of
Alzheimer's disease, detailed neuropsychological profiling frequently demonstrates deficits …

Objective In recent years numerous studies have achieved promising results in Alzheimer's
Disease (AD) detection using automatic language processing. We systematically review …