Nov 19, 2020 · Our work shows that machine learning algorithms built on contextual and psycholinguistic features can learn the linguistic biomarkers from ...
Our work shows that machine learn- ing algorithms built on contextual and psycholinguistic features can learn the linguistic biomarkers from verbal utterances ...
Our work shows that machine learning algorithms built on contextual and psycholinguistic features can learn the linguistic biomarkers from verbal utterances.
This work shows that machine learning algorithms built on contextual and psycholinguistic features can learn the linguistic biomarkers from verbal ...
Dec 4, 2020 · Our work shows that machine learning algorithms built on contextual and psycholinguistic features can learn the linguistic biomarkers from ...
People also ask
What are the 4 stages of cognitive decline?
How do you detect early cognitive decline?
What predictors of cognitive impairment in an early stage Parkinson's disease cohort?
What is decline of verbal fluency?
... Problems in verbal fluency seem to be related to a lower number of content words (nouns, modifiers) accompanied by more frequent use of pronouns, ...
The earliest signs of cognitive decline include deficits in temporal (time-based) speech characteristics. Type 2 diabetes mellitus (T2DM) patients are more ...
Missing: Indicators | Show results with:Indicators
Oct 26, 2021 · This study demonstrates that automated speech assessments have potential as sensitive tools to detect early signs of cognitive impairment and monitor ...
Oct 22, 2020 · The results suggest that language performance in naturalistic probes expose subtle early signs of progression to AD in advance of clinical ...
We test whether verbal fluency is a prospective risk factor for incident dementia, cognitive impairment not dementia (CIND), and conversion from CIND to ...