[HTML][HTML] Screening dementia and predicting high dementia risk groups using machine learning
H Byeon - World Journal of Psychiatry, 2022 - ncbi.nlm.nih.gov
New technologies such as artificial intelligence, the internet of things, big data, and cloud
computing have changed the overall society and economy, and the medical field particularly …
computing have changed the overall society and economy, and the medical field particularly …
[HTML][HTML] Application of machine learning in dementia diagnosis: A systematic literature review
G Kantayeva, J Lima, AI Pereira - Heliyon, 2023 - cell.com
Abstract According to the World Health Organization forecast, over 55 million people
worldwide have dementia, and about 10 million new cases are detected yearly. Early …
worldwide have dementia, and about 10 million new cases are detected yearly. Early …
[HTML][HTML] A deep neural network-based method for prediction of dementia using big data
J Kim, J Lim - International Journal of Environmental Research and …, 2021 - mdpi.com
The rise in dementia among the aging Korean population will quickly create a financial
burden on society, but timely recognition of early warning for dementia and proper …
burden on society, but timely recognition of early warning for dementia and proper …
[HTML][HTML] Early diagnosis of dementia from clinical data by machine learning techniques
Dementia is the most prevalent degenerative disease in seniors in which progression can
be prevented or delayed by early diagnosis. In this study, we proposed a two-layer model …
be prevented or delayed by early diagnosis. In this study, we proposed a two-layer model …
Predicting dementia risk factors based on feature selection and neural networks
Dementia is a disorder with high societal impact and severe consequences for its patients
who suffer from a progressive cognitive decline that leads to increased morbidity, mortality …
who suffer from a progressive cognitive decline that leads to increased morbidity, mortality …
A machine learning approach towards detecting dementia based on its modifiable risk factors
R Bin-Hezam, TE Ward - … Journal of Advanced Computer Science and …, 2019 - doras.dcu.ie
Dementia is considered one of the greatest global health and social care challenges in the
21st century. Fortunately, dementia can be delayed or possibly prevented by changes in …
21st century. Fortunately, dementia can be delayed or possibly prevented by changes in …
An efficient way of identifying alzheimer's disease using deep learning techniques
Alzheimer's disease has recently emerged as a big worry. This condition affects around 45
million people. Alzheimer's disease is a deteriorating brain illness through an unknown …
million people. Alzheimer's disease is a deteriorating brain illness through an unknown …
Machine and deep learning algorithms for classifying different types of dementia: A literature review
M Noroozi, M Gholami, H Sadeghsalehi… - Applied …, 2024 - Taylor & Francis
The cognitive impairment known as dementia affects millions of individuals throughout the
globe. The use of machine learning (ML) and deep learning (DL) algorithms has shown …
globe. The use of machine learning (ML) and deep learning (DL) algorithms has shown …
An autonomous dementia prediction method using various machine learning models
The alarmingly increasing rate of dementia across the world without a proper diagnostic
procedure has made early diagnosis of dementia a major health concern. Dementia is a …
procedure has made early diagnosis of dementia a major health concern. Dementia is a …
Performance comparison of machine learning techniques in identifying dementia from open access clinical datasets
Identified mainly by memory loss and social inability, dementia may result from several
different diseases. In the world with ever growing elderly population, the problem of …
different diseases. In the world with ever growing elderly population, the problem of …