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[HTML][HTML] Large language models in healthcare and medical domain: A review
The deployment of large language models (LLMs) within the healthcare sector has sparked
both enthusiasm and apprehension. These models exhibit the remarkable ability to provide …
both enthusiasm and apprehension. These models exhibit the remarkable ability to provide …
[HTML][HTML] Deep learning-based diagnosis of Alzheimer's disease
Alzheimer's disease (AD), the most familiar type of dementia, is a severe concern in modern
healthcare. Around 5.5 million people aged 65 and above have AD, and it is the sixth …
healthcare. Around 5.5 million people aged 65 and above have AD, and it is the sixth …
Deep learning-based speech analysis for Alzheimer's disease detection: a literature review
Background Alzheimer's disease has become one of the most common neurodegenerative
diseases worldwide, which seriously affects the health of the elderly. Early detection and …
diseases worldwide, which seriously affects the health of the elderly. Early detection and …
Alzheimer's disease classification using pre-trained deep networks
Alzheimer disease (AD) is a progressive neurologic disorder that causes the brain to shrink
(atrophy) and brain cells to die. Alzheimer disease is the most common cause of dementia …
(atrophy) and brain cells to die. Alzheimer disease is the most common cause of dementia …
Ethical issues when using digital biomarkers and artificial intelligence for the early detection of dementia
Dementia poses a growing challenge for health services but remains stigmatized and under‐
recognized. Digital technologies to aid the earlier detection of dementia are approaching …
recognized. Digital technologies to aid the earlier detection of dementia are approaching …
[HTML][HTML] Cyberbullying detection on social media using stacking ensemble learning and enhanced BERT
The prevalence of cyberbullying on Social Media (SM) platforms has become a significant
concern for individuals, organizations, and society as a whole. The early detection and …
concern for individuals, organizations, and society as a whole. The early detection and …
[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 …
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 …
A transfer learning method for detecting Alzheimer's disease based on speech and natural language processing
N Liu, K Luo, Z Yuan, Y Chen - Frontiers in Public Health, 2022 - frontiersin.org
Alzheimer's disease (AD) is a neurodegenerative disease that is difficult to be detected
using convenient and reliable methods. The language change in patients with AD is an …
using convenient and reliable methods. The language change in patients with AD is an …
Transfer learning for non-image data in clinical research: a sco** review
A Ebbehoj, MØ Thunbo, OE Andersen… - PLOS Digital …, 2022 - journals.plos.org
Background Transfer learning is a form of machine learning where a pre-trained model
trained on a specific task is reused as a starting point and tailored to another task in a …
trained on a specific task is reused as a starting point and tailored to another task in a …