Current state-of-the-art diagnostic measures of Alzheimer's disease (AD) are invasive
(cerebrospinal fluid analysis), expensive (neuroimaging) and time-consuming …

Abstract Natural Language Processing (NLP) is an ever-growing field of computational
science that aims to model natural human language. Combined with advances in machine …

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 …

Background: Even today the reliable diagnosis of the prodromal stages of Alzheimer's
disease (AD) remains a great challenge. Our research focuses on the earliest detectable …

Alzheimer's disease (AD) is a neurodegenerative disorder that develops for years before
clinical manifestation, while mild cognitive impairment is clinically considered as a …

Adaptability is the most generous thing we need to acquire to solve any kind of prediction
model design and implementation. Dementia is the most dangerous disease which will …

Abstract Introduction Trials in Alzheimer's disease are increasingly focusing on prevention in
asymptomatic individuals. We hypothesized that indicators of mild cognitive impairment …

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

We investigate the value-add of topic modeling in text analysis for depression, and for
neuroticism as a strongly associated personality measure. Using Pennebaker's Linguistic …

This paper proposes a new approach to automatically detect dementia. Even though some
works have detected dementia from speech and language attributes, most have applied …