Computerized neuropsychological assessment in mild cognitive impairment based on natural language processing-oriented feature extraction
C Fang, P Janwattanapong, H Martin… - 2017 IEEE …, 2017 - ieeexplore.ieee.org
Typically, neuropsychological testing helps medical experts situate a given patient in
continuum of the Alzheimer's disease (AD) spectrum, especially in the continuum between …
continuum of the Alzheimer's disease (AD) spectrum, especially in the continuum between …
Subject Harmonization of Digital Biomarkers: Improved Detection of Mild Cognitive Impairment from Language Markers
Mild cognitive impairment (MCI) represents the early stage of dementia including
Alzheimer's disease (AD) and is a crucial stage for therapeutic interventions and treatment …
Alzheimer's disease (AD) and is a crucial stage for therapeutic interventions and treatment …
Automatic detection of linguistic indicators as a means of early detection of Alzheimer's disease and of related dementias: A computational linguistics analysis
V Rentoumi, G Paliouras, E Danasi… - 2017 8th IEEE …, 2017 - ieeexplore.ieee.org
In the present study, we analyzed written samples obtained from Greek native speakers
diagnosed with Alzheimer's in mild and moderate stages and from age-matched cognitively …
diagnosed with Alzheimer's in mild and moderate stages and from age-matched cognitively …
Detection of mild cognitive impairment from language markers with crossmodal augmentation
Mild cognitive impairment is the prodromal stage of Alzheimer's disease. Its detection has
been a critical task for establishing cohort studies and developing therapeutic interventions …
been a critical task for establishing cohort studies and developing therapeutic interventions …
Design of novel screening environments for Mild Cognitive Impairment: Giving priority to elicited speech and language abilities
S Segkouli, I Paliokas, D Tzovaras… - 2015 9th …, 2015 - ieeexplore.ieee.org
Recent cognitive decline screening batteries have highlighted the importance of language
deficits related to semantic knowledge breakdown to reveal the incipient dementia. This …
deficits related to semantic knowledge breakdown to reveal the incipient dementia. This …
Predicting early indicators of cognitive decline from verbal utterances
S Padhee, A Illendula, M Sadler… - 2020 IEEE …, 2020 - ieeexplore.ieee.org
Dementia is a group of irreversible, chronic, and progressive neurodegenerative disorders
resulting in impaired memory, communication, and thought processes. In recent years …
resulting in impaired memory, communication, and thought processes. In recent years …
Functional connectivity of Chinese characters processing: A meta-analysis
Y Nie, J Wei, L Zhu, Q Zhou… - 2015 IEEE International …, 2015 - ieeexplore.ieee.org
Meta-analyses aim to mine reliable research findings from individual studies and can be
usefully applied to an increasing number of published functional brain imaging studies. In …
usefully applied to an increasing number of published functional brain imaging studies. In …
Early detection of Alzheimer's disease using patient neuropsychological and cognitive data and machine learning techniques
Alzheimer's disease (AD) is a neurodegenerative disease and the most common cause of
dementia in older adults. With no known cures, there is a pressing need to find behavioral …
dementia in older adults. With no known cures, there is a pressing need to find behavioral …
Detection of Mild Cognitive Impairment Using Image Differences and Clinical Features
In this study, we present a systematic method for early detection of mild cognitive impairment
(MCI) from magnetic resonance images (MRI) using image differences and clinical features …
(MCI) from magnetic resonance images (MRI) using image differences and clinical features …
A deep neural network approach for early diagnosis of mild cognitive impairment using multiple features
Alzheimer's disease (AD) is the most prevalent neurodegenerative disease that is
progressive and can be characterized mostly by neuronal atrophy, amyloid deposition …
progressive and can be characterized mostly by neuronal atrophy, amyloid deposition …