This research is a discriminative analysis of conversational dialogs involving individuals
suffering from dementia of Alzheimer's type. Several metric analyses are applied to the …

This research is a discriminative analysis of conversational dialogues involving individuals
suffering from dementia of Alzheimer's type. Several metric analyses are applied to the …

This pilot study evaluates the ability of machined learned algorithms to assist with the
differential diagnosis of dementia subtypes based on brief (< 10 min) spontaneous speech …

The need for inexpensive, safe, accurate and non-invasive biomarkers for Alzheimer's
disease (AD) has motivated much current research (Mandell and Green, 2011). While …

Alzheimer's disease (AD) is a progressive, neurodegenerative disorder mainly characterized
by memory loss with deficits in other cognitive domains, including language, visuospatial …

Automatic monitoring of the patients with Alzheimer's disease and diagnosis of the disease
in early stages can have a significant impact on the society. Here, we investigate an …

The need for inexpensive, safe, accurate and non-invasive biomarkers for Alzheimer's
disease (AD) has motivated much current research (Mandell and Green, 2011). While …

Current methods of assessing dementia of Alzheimer type (DAT) in older adults involve
structured interviews that attempt to capture the complex nature of deficits suffered. One of …

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 …

Alzheimer's disease (AD) deteriorates executive, linguistic, and functional capacity and is
rapidly becoming more prevalent. In particular, AD leads to an inability to follow simple …