[HTML][HTML] Linguistic markers predict onset of Alzheimer's disease
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 …
Alzheimer's disease in cognitively normal subjects through automated linguistic analysis …
[HTML][HTML] Predicting probable Alzheimer's disease using linguistic deficits and biomarkers
Background The manual diagnosis of neurodegenerative disorders such as Alzheimer's
disease (AD) and related Dementias has been a challenge. Currently, these disorders are …
disease (AD) and related Dementias has been a challenge. Currently, these disorders are …
Automated detection of mild cognitive impairment and dementia from voice recordings: a natural language processing approach
Introduction Automated computational assessment of neuropsychological tests would
enable widespread, cost‐effective screening for dementia. Methods A novel natural …
enable widespread, cost‐effective screening for dementia. Methods A novel natural …
[HTML][HTML] Artificial intelligence, speech, and language processing approaches to monitoring Alzheimer's disease: a systematic review
S De la Fuente Garcia, CW Ritchie… - Journal of Alzheimer's …, 2020 - content.iospress.com
Background: Language is a valuable source of clinical information in Alzheimer's disease,
as it declines concurrently with neurodegeneration. Consequently, speech and language …
as it declines concurrently with neurodegeneration. Consequently, speech and language …
Tracking discourse complexity preceding Alzheimer's disease diagnosis: A case study comparing the press conferences of Presidents Ronald Reagan and George …
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 …
progression of Alzheimer's disease. Here we describe a method to extract key features from …
[PDF][PDF] Learning predictive linguistic features for Alzheimer's disease and related dementias using verbal utterances
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 …
related Dementias is currently a challenge. Currently, AD can only be diagnosed by …
Linguistic features identify Alzheimer's disease in narrative speech
KC Fraser, JA Meltzer… - Journal of Alzheimer's …, 2016 - content.iospress.com
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 …
(AD), language impairment can be an important marker. Relatively few studies of language …
Linguistic changes in verbal expression: a preclinical marker of Alzheimer's disease
F Cuetos, JC Arango-Lasprilla, C Uribe… - Journal of the …, 2007 - cambridge.org
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 …
very little is known about changes in verbal expression during the preclinical phase of this …
Connected speech as a marker of disease progression in autopsy-proven Alzheimer's disease
Although an insidious history of episodic memory difficulty is a typical presenting symptom of
Alzheimer's disease, detailed neuropsychological profiling frequently demonstrates deficits …
Alzheimer's disease, detailed neuropsychological profiling frequently demonstrates deficits …
A systematic literature review of automatic Alzheimer's disease detection from speech and language
Objective In recent years numerous studies have achieved promising results in Alzheimer's
Disease (AD) detection using automatic language processing. We systematically review …
Disease (AD) detection using automatic language processing. We systematically review …
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