Background Word retrieval skills change across the lifespan. Permanent alterations in the
form of decreased accuracy or increased response time can be a consequence of both …

Purpose: Adults with right hemisphere damage demonstrate differences in connected
speech compared to controls, but systematic, quantitative methods to capture these …

There is growing evidence that corpus-based computational tools are useful in identifying
changes in speech that appear to accompany cognitive decline in Alzheimer's disease (AD) …

Purpose: Examining discourse after right hemisphere brain damage (RHD) can provide
invaluable clinical data and insight into functional communication capabilities. Yet, clinicians …

Dementia is a serious public health concern. It does not have any cure. Early detection of
dementia is, thus, critical for effective symptom management as well as delaying cognitive …

Background Alzheimer's disease (AD) is difficult to diagnose on the basis of language
because of the implicit emotion of transcripts, which is defined as a supervised fuzzy implicit …

Introduction Alzheimer's Disease (AD) is a common dementia which affects linguistic
function, memory, cognitive and visual spatial ability of the patients. Language is proved to …

With advancements in analysis of cognitive decline in electronic health records, the research
community witnesses a recent surge in social media posting by caregivers and/or loved …

Early detection of dementia is critical for effective symptom management. Recent studies
have aimed to develop machine learning (ML) models to identify dementia onset and …

Discourse and social communication impairments are commonly documented in adults with
aphasia and other acquired language disorders. The analysis of spoken discourse allows …