[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 …
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 …
A federated learning based privacy-preserving smart healthcare system
The rapid development of the smart healthcare system makes the early-stage detection of
dementia disease more user-friendly and affordable. However, the main concern is the …
dementia disease more user-friendly and affordable. However, the main concern is the …
Multimodal inductive transfer learning for detection of Alzheimer's dementia and its severity
Alzheimer's disease is estimated to affect around 50 million people worldwide and is rising
rapidly, with a global economic burden of nearly a trillion dollars. This calls for scalable, cost …
rapidly, with a global economic burden of nearly a trillion dollars. This calls for scalable, cost …
An automatic Alzheimer's disease classifier based on spontaneous spoken English
Abstract According to the World Health Organization, the number of people suffering from
dementia worldwide will grow to 150 million by mid-century, and Alzheimer's disease is the …
dementia worldwide will grow to 150 million by mid-century, and Alzheimer's disease is the …
Acoustic and language based deep learning approaches for Alzheimer's dementia detection from spontaneous speech
Current methods for early diagnosis of Alzheimer's Dementia include structured
questionnaires, structured interviews, and various cognitive tests. Language difficulties are a …
questionnaires, structured interviews, and various cognitive tests. Language difficulties are a …
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 …
Detecting Alzheimer's disease using natural language processing of referential communication task transcripts
Background: People with Alzheimer's disease (AD) often demonstrate difficulties in
discourse production. Referential communication tasks (RCTs) are used to examine a …
discourse production. Referential communication tasks (RCTs) are used to examine a …
Classification of Alzheimer's disease with deep learning on eye-tracking data
Existing research has shown the potential of classifying Alzheimer's Disease (AD) from eye-
tracking (ET) data with classifiers that rely on task-specific engineered features. In this paper …
tracking (ET) data with classifiers that rely on task-specific engineered features. In this paper …
[HTML][HTML] Predicting Alzheimer's disease from spoken and written language using fusion-based stacked generalization
The importance of automating the diagnosis of Alzheimer disease (AD) towards facilitating
its early prediction has long been emphasized, hampered in part by lack of empirical …
its early prediction has long been emphasized, hampered in part by lack of empirical …