[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 …
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 …
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 …
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 …
Interpreting acoustic features for the assessment of Alzheimer's disease using ForestNet
PA Pérez-Toro, D Rodríguez-Salas, T Arias-Vergara… - Smart Health, 2022 - Elsevier
Nowadays, interpretable machine learning models are one of the most critical topics in the
medical domain. The lack of interpretation leads to blind and unreliable models for …
medical domain. The lack of interpretation leads to blind and unreliable models for …
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 …
Going beyond the cookie theft picture test: Detecting cognitive impairments using acoustic features
F Braun, A Erzigkeit, H Lehfeld, T Hillemacher… - … Conference on Text …, 2022 - Springer
Standardized tests play a crucial role in the detection of cognitive impairment. Previous work
demonstrated that automatic detection of cognitive impairment is possible using audio data …
demonstrated that automatic detection of cognitive impairment is possible using audio data …