A review of machine learning and deep learning approaches on mental health diagnosis
Combating mental illnesses such as depression and anxiety has become a global concern.
As a result of the necessity for finding effective ways to battle these problems, machine …
As a result of the necessity for finding effective ways to battle these problems, machine …
Artificial intelligence, speech, and language processing approaches to monitoring Alzheimer's disease: a systematic review
S De la Fuente Garcia, CW Ritchie… - Journal of Alzheimer's …, 2020 - content.iospress.com
Background: Language is a valuable source of clinical information in Alzheimer's disease,
as it declines concurrently with neurodegeneration. Consequently, speech and language …
as it declines concurrently with neurodegeneration. Consequently, speech and language …
Predicting dementia from spontaneous speech using large language models
Language impairment is an important biomarker of neurodegenerative disorders such as
Alzheimer's disease (AD). Artificial intelligence (AI), particularly natural language processing …
Alzheimer's disease (AD). Artificial intelligence (AI), particularly natural language processing …
Alzheimer's dementia recognition through 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 …
disease (AD) has motivated much current research (Mandell and Green, 2011). While …
Detecting cognitive decline using speech only: The adresso challenge
Building on the success of the ADReSS Challenge at Interspeech 2020, which attracted the
participation of 34 teams from across the world, the ADReSSo Challenge targets three …
participation of 34 teams from across the world, the ADReSSo Challenge targets three …
Linguistic features identify Alzheimer's disease in narrative speech
KC Fraser, JA Meltzer… - Journal of Alzheimer's …, 2015 - journals.sagepub.com
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 …
(AD), language impairment can be an important marker. Relatively few studies of language …
To BERT or not to BERT: comparing speech and language-based approaches for Alzheimer's disease detection
Research related to automatically detecting Alzheimer's disease (AD) is important, given the
high prevalence of AD and the high cost of traditional methods. Since AD significantly affects …
high prevalence of AD and the high cost of traditional methods. Since AD significantly affects …
An assessment of paralinguistic acoustic features for detection of Alzheimer's dementia in spontaneous speech
Speech analysis could provide an indicator of Alzheimer's disease and help develop clinical
tools for automatically detecting and monitoring disease progression. While previous studies …
tools for automatically detecting and monitoring disease progression. While previous studies …
D-vlog: Multimodal vlog dataset for depression detection
Detecting depression based on non-verbal behaviors has received great attention.
However, most prior work on detecting depression mainly focused on detecting depressed …
However, most prior work on detecting depression mainly focused on detecting depressed …
Artificial intelligence for Alzheimer's disease: promise or challenge?
Decades of experimental and clinical research have contributed to unraveling many
mechanisms in the pathogenesis of Alzheimer's disease (AD), but the puzzle is still …
mechanisms in the pathogenesis of Alzheimer's disease (AD), but the puzzle is still …