[HTML][HTML] Speech and language processing with deep learning for dementia diagnosis: A systematic review
M Shi, G Cheung, SR Shahamiri - Psychiatry Research, 2023 - Elsevier
Dementia is a progressive neurodegenerative disease that burdens the person living with
the disease, their families, and medical and social services. Timely diagnosis of dementia …
the disease, their families, and medical and social services. Timely diagnosis of dementia …
Multimodal learning of clinically accessible tests to aid diagnosis of neurodegenerative disorders: a scoping review
With ageing populations around the world, there is a rapid rise in the number of people with
Alzheimer's disease (AD) and Parkinson's disease (PD), the two most common types of …
Alzheimer's disease (AD) and Parkinson's disease (PD), the two most common types of …
Classifying Alzheimer's disease using audio and text-based representations of speech
R Haulcy, J Glass - Frontiers in Psychology, 2021 - frontiersin.org
Alzheimer's Disease (AD) is a form of dementia that affects the memory, cognition, and motor
skills of patients. Extensive research has been done to develop accessible, cost-effective …
skills of patients. Extensive research has been done to develop accessible, cost-effective …
[PDF][PDF] Automatic Detection and Assessment of Alzheimer Disease Using Speech and Language Technologies in Low-Resource Scenarios.
In this study, we analyze the use of speech and speaker recognition technologies and
natural language processing to detect Alzheimer disease (AD) and estimate mini-mental …
natural language processing to detect Alzheimer disease (AD) and estimate mini-mental …
Temporal integration of text transcripts and acoustic features for Alzheimer's diagnosis based on spontaneous speech
Background: Advances in machine learning (ML) technology have opened new avenues for
detection and monitoring of cognitive decline. In this study, a multimodal approach to …
detection and monitoring of cognitive decline. In this study, a multimodal approach to …
Exploring deep transfer learning techniques for Alzheimer's dementia detection
Examination of speech datasets for detecting dementia, collected via various speech tasks,
has revealed links between speech and cognitive abilities. However, the speech dataset …
has revealed links between speech and cognitive abilities. However, the speech dataset …
Multimodal deep learning models for detecting dementia from speech and transcripts
L Ilias, D Askounis - Frontiers in Aging Neuroscience, 2022 - frontiersin.org
Alzheimer's dementia (AD) entails negative psychological, social, and economic
consequences not only for the patients but also for their families, relatives, and society in …
consequences not only for the patients but also for their families, relatives, and society in …
Comparing acoustic-based approaches for Alzheimer's disease detection
A Balagopalan, J Novikova - arXiv preprint arXiv:2106.01555, 2021 - arxiv.org
Robust strategies for Alzheimer's disease (AD) detection are important, given the high
prevalence of AD. In this paper, we study the performance and generalizability of three …
prevalence of AD. In this paper, we study the performance and generalizability of three …
Explainable identification of dementia from transcripts using transformer networks
L Ilias, D Askounis - IEEE Journal of Biomedical and Health …, 2022 - ieeexplore.ieee.org
Alzheimer's disease (AD) is the main cause of dementia which is accompanied by loss of
memory and may lead to severe consequences in peoples' everyday life if not diagnosed on …
memory and may lead to severe consequences in peoples' everyday life if not diagnosed on …
Automated recognition of alzheimer's dementia using bag-of-deep-features and model ensembling
Alzheimer's dementia is a progressive neurodegenerative disease that causes cognitive and
physical impairment. It severely deteriorates the quality of life in affected individuals. An …
physical impairment. It severely deteriorates the quality of life in affected individuals. An …