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 …

Artificial Intelligence in Eye Movements Analysis for Alzheimer's Disease Early Diagnosis

SF Maleki, M Yousefi, N Sobhi… - Current Alzheimer …, 2024 - benthamdirect.com
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 …

Discriminative sparse features for Alzheimer's disease diagnosis using multimodal image data

A Ortiz, F Lozano, JM Gorriz, J Ramirez… - Current Alzheimer …, 2018 - benthamdirect.com
Background: Feature extraction in medical image processing still remains a challenge,
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 …

[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 …

A statistical region selection and randomized volumetric features selection framework for early detection of Alzheimer's disease

S Mishra, I Beheshti, P Khanna… - … Journal of Imaging …, 2018 - Wiley Online Library
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 …

Planning of Electric Vehicle Charging Stations Considering Fuzzy Selection of Second Life Batteries

J Lin, J Qiu, Y Yang, W Lin - IEEE Transactions on Power …, 2023 - ieeexplore.ieee.org
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 …

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 …

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 …

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 …