[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 …
Neuroprotective effects of gemfibrozil in neurological disorders: Focus on inflammation and molecular mechanisms
Abstract Background Gemfibrozil (Gem) is a drug that has been shown to activate PPAR‐α,
a nuclear receptor that plays a key role in regulating lipid metabolism. Gem is used to lower …
a nuclear receptor that plays a key role in regulating lipid metabolism. Gem is used to lower …
Clinicalradiobert: Knowledge-infused few shot learning for clinical notes named entity recognition
Transformer based language models such as BERT have been widely applied to many
domains through model pretraining and fine tuning. However, in low-resource scenarios …
domains through model pretraining and fine tuning. However, in low-resource scenarios …
Diagnosis and detection of Alzheimer's disease using learning algorithm
In Computer-Aided Detection (CAD) brain disease classification is a vital issue. Alzheimer's
Disease (AD) and brain tumors are the primary reasons of death. The studies of these …
Disease (AD) and brain tumors are the primary reasons of death. The studies of these …
Automated detection of progressive speech changes in early Alzheimer's disease
J Robin, M Xu, A Balagopalan… - Alzheimer's & …, 2023 - Wiley Online Library
Speech and language changes occur in Alzheimer's disease (AD), but few studies have
characterized their longitudinal course. We analyzed open‐ended speech samples from a …
characterized their longitudinal course. We analyzed open‐ended speech samples from a …
[HTML][HTML] Disparities and resilience: analyzing online Health information provision, behaviors and needs of LBGTQ+ elders during COVID-19
Background Prior studies indicate that older members of LGBTQ+ communities have specific
health provision and health information needs related to coping with COVID-19, its long-term …
health provision and health information needs related to coping with COVID-19, its long-term …
Test-retest reliability of acoustic and linguistic measures of speech tasks
Recent studies suggest that automatic speech analysis is promising for diagnosing
movement and cognitive disorders. However, the reliability of acoustic and linguistic …
movement and cognitive disorders. However, the reliability of acoustic and linguistic …
Optimizing and Evaluating Pre-Trained Large Language Models for Alzheimer's Disease Detection
F Casu, E Grosso, A Lagorio… - 2024 32nd Euromicro …, 2024 - ieeexplore.ieee.org
This research focuses on developing improved diagnostic tools for Alzheimer's Disease
(AD), a condition impacting approximately 50 million individuals globally. In the paper, we …
(AD), a condition impacting approximately 50 million individuals globally. In the paper, we …
Deploying a human robot interaction model for dementia care in federated learning
Data privacy is the main concern when using machine learning methods to solve dementia
care problems. This paper makes the first attempt to deploy a human robot interaction model …
care problems. This paper makes the first attempt to deploy a human robot interaction model …
[HTML][HTML] A Perspective: Challenges in Dementia Research
M Stecker - Medicina, 2022 - mdpi.com
Although dementia is a common and devastating disease that has been studied intensely for
more than 100 years, no effective disease modifying treatment has been found. At this …
more than 100 years, no effective disease modifying treatment has been found. At this …