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[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 …
Noninvasive automatic detection of Alzheimer's disease from spontaneous speech: a review
X Qi, Q Zhou, J Dong, W Bao - Frontiers in Aging Neuroscience, 2023 - frontiersin.org
Alzheimer's disease (AD) is considered as one of the leading causes of death among
people over the age of 70 that is characterized by memory degradation and language …
people over the age of 70 that is characterized by memory degradation and language …
Multimodal fusion for alzheimer's disease recognition
Y Ying, T Yang, H Zhou - Applied Intelligence, 2023 - Springer
Alzheimer's disease (AD) is the most prevalent form of progressive degenerative dementia,
which has a great impact on social economics throughout the world. In the vast majority of …
which has a great impact on social economics throughout the world. In the vast majority of …
[PDF][PDF] Alzheimer's Detection from English to Spanish Using Acoustic and Linguistic Embeddings.
Cross-lingual approaches are growing in popularity in the machine learning domain, where
large amounts of data are required to obtain better generalizations. Moreover, one of the …
large amounts of data are required to obtain better generalizations. Moreover, one of the …
Comparison of AI with and without hand-crafted features to classify Alzheimer's disease in different languages
TM Kim, J Son, JW Chun, Y Lee, DJ Kim, IY Choi… - Computers in Biology …, 2024 - Elsevier
Abstract Background Detecting and analyzing Alzheimer's disease (AD) in its early stages is
a crucial and significant challenge. Speech data from AD patients can aid in diagnosing AD …
a crucial and significant challenge. Speech data from AD patients can aid in diagnosing AD …
Efficient pause extraction and encode strategy for Alzheimer's disease detection using only acoustic features from spontaneous speech
J Liu, F Fu, L Li, J Yu, D Zhong, S Zhu, Y Zhou, B Liu… - Brain Sciences, 2023 - mdpi.com
Clinical studies have shown that speech pauses can reflect the cognitive function
differences between Alzheimer's Disease (AD) and non-AD patients, while the value of …
differences between Alzheimer's Disease (AD) and non-AD patients, while the value of …
Alzheimer's disease recognition from spontaneous speech using large language models
We propose a method to automatically predict Alzheimer's disease from speech data using
the ChatGPT large language model. Alzheimer's disease patients often exhibit distinctive …
the ChatGPT large language model. Alzheimer's disease patients often exhibit distinctive …
A mobile application using automatic speech analysis for classifying Alzheimer's disease and mild cognitive impairment
Speech and language disturbances have been observed from the early stages of
Alzheimer's disease (AD), including mild cognitive impairment (MCI), and speech analysis …
Alzheimer's disease (AD), including mild cognitive impairment (MCI), and speech analysis …
Classifying dementia in the presence of depression: A cross-corpus study
Automated dementia screening enables early detection and intervention, reducing costs to
healthcare systems and increasing quality of life for those affected. Depression has shared …
healthcare systems and increasing quality of life for those affected. Depression has shared …
Depression assessment in people with Parkinson's disease: The combination of acoustic features and natural language processing
Parkinson's disease produces motor impairments such as bradykinesia, rigidity, and
different speech impairments, as same as non-motor symptoms like cognitive decline and …
different speech impairments, as same as non-motor symptoms like cognitive decline and …