Structural magnetic resonance imaging for the early diagnosis of dementia due to Alzheimer's disease in people with mild cognitive impairment
G Lombardi, G Crescioli, E Cavedo… - Cochrane Database …, 2020 - cochranelibrary.com
Background Mild cognitive impairment (MCI) due to Alzheimer's disease is the symptomatic
predementia phase of Alzheimer's disease dementia, characterised by cognitive and …
predementia phase of Alzheimer's disease dementia, characterised by cognitive and …
Artificial Intelligence in Eye Movements Analysis for Alzheimer's Disease Early Diagnosis
As the world's population ages, Alzheimer's disease is currently the seventh most common
cause of death globally; the burden is anticipated to increase, especially among middle …
cause of death globally; the burden is anticipated to increase, especially among middle …
Discriminative sparse features for Alzheimer's disease diagnosis using multimodal image data
Background: Feature extraction in medical image processing still remains a challenge,
especially in high-dimensionality datasets, where the expected number of available samples …
especially in high-dimensionality datasets, where the expected number of available samples …
Modeling Brain Information Flow Dynamics with Multidimensional Fuzzy Inference Systems
U Kadak - Information Sciences, 2024 - Elsevier
In this paper, we introduce a pioneering approach to analyzing brain information flow
dynamics through the development of a novel hybrid system. The key innovation of our …
dynamics through the development of a novel hybrid system. The key innovation of our …
[Retracted] Prediction of Early Alzheimer Disease by Hippocampal Volume Changes under Machine Learning Algorithm
Q Shang, Q Zhang, X Liu, L Zhu - … and Mathematical Methods …, 2022 - Wiley Online Library
This research was aimed at discussing the application value of different machine learning
algorithms in the prediction of early Alzheimer's disease (AD), which was based on …
algorithms in the prediction of early Alzheimer's disease (AD), which was based on …
A statistical region selection and randomized volumetric features selection framework for early detection of Alzheimer's disease
Identification of dominant imaging biomarkers is important for early detection of Alzheimer's
disease (AD) and to improve diagnostic accuracy. This work proposes a novel automatic …
disease (AD) and to improve diagnostic accuracy. This work proposes a novel automatic …
Planning of Electric Vehicle Charging Stations Considering Fuzzy Selection of Second Life Batteries
The increasing sales of electric vehicles (EVs) in the market poses critical questions for the
public on how to deal with millions of retired batteries (RBs). A number of studies have …
public on how to deal with millions of retired batteries (RBs). A number of studies have …
Corpus callosum atrophy in detection of mild and moderate Alzheimer's disease using brain magnetic resonance image processing and machine learning techniques
S Das, P Panigrahi… - Journal of Alzheimer's …, 2021 - content.iospress.com
Background: The total number of people with dementia is projected to reach 82 million in
2030 and 152 in 2050. Early and accurate identification of the underlying causes of …
2030 and 152 in 2050. Early and accurate identification of the underlying causes of …
Study on the removal of amyloid plaque by nano-gold in the treatment of neurodegenerative disease-alzheimer's disease
H Chai, X Wang, Z Liu, Y Zhao - Materials Express, 2021 - ingentaconnect.com
As a complex neurological disease, the treatment of Alzheimer's disease (AD) is a global
challenge. Compared with traditional drug therapy, a novel therapeutic tool, inorganic …
challenge. Compared with traditional drug therapy, a novel therapeutic tool, inorganic …
Feature ranking for mild cognitive impairment and Alzheimer's disease diagnosis
D Domashenko, M Manko, A Popov… - 2017 Signal …, 2017 - ieeexplore.ieee.org
This paper describes the experiment of analyzing MRI images of the brain of patients with
Alzheimer's disease (AD), mild cognitive impairment (MCI) and normal control (NC). The aim …
Alzheimer's disease (AD), mild cognitive impairment (MCI) and normal control (NC). The aim …