Enhanced Harris hawks optimization-based fuzzy k-nearest neighbor algorithm for diagnosis of Alzheimer's disease
Q Zhang, J Sheng, Q Zhang, L Wang, Z Yang… - Computers in Biology …, 2023 - Elsevier
In order to stop deterioration and give patients with Alzheimer's disease (AD) early therapy, it
is crucial to correctly diagnose AD and its early stage, mild cognitive impairment (MCI). A …
is crucial to correctly diagnose AD and its early stage, mild cognitive impairment (MCI). A …
Advancements in medical diagnosis and treatment through machine learning: A review
The aptness of machine learning (ML) to learn from large datasets, discover trends, and
make predictions has demonstrated its potential to metamorphose the medical field. Medical …
make predictions has demonstrated its potential to metamorphose the medical field. Medical …
Classification of neuroimaging data in Alzheimer's disease using particle swarm optimization: A systematic review
Aim Particle swarm optimization (PSO) is an algorithm that involves the optimization of Non-
linear and Multidimensional problems to reach the best solutions with minimal …
linear and Multidimensional problems to reach the best solutions with minimal …
Deep learning methods for early detection of Alzheimer's disease using structural MR images: A survey
In this paper, we present an extensive review of the most recent works on Alzheimer's
disease (AD) prediction, focusing on Moderate Cognitive Impairment (MCI) conversion …
disease (AD) prediction, focusing on Moderate Cognitive Impairment (MCI) conversion …
A joint autoencoder and classifier deep neural network for AD and MCI classification
In this article, we present a new approach to distinguish progressive mild cognitively
impaired (pMCI) subjects, who eventually develop Alzheimer's disease (AD) from stable MCI …
impaired (pMCI) subjects, who eventually develop Alzheimer's disease (AD) from stable MCI …
Constrained self regulating particle swarm optimization
Self regulating particle swarm optimization (SRPSO) is a variant of particle swarm
optimization (PSO) which has proved to be a very efficient algorithm for unconstrained …
optimization (PSO) which has proved to be a very efficient algorithm for unconstrained …
Optimized Multiscale Entropy Model Based on Resting‐State fMRI for Appraising Cognitive Performance in Healthy Elderly
F Yang, F Zhang, AN Belkacem, C Xie… - … Methods in Medicine, 2022 - Wiley Online Library
Many studies have indicated that an entropy model can capture the dynamic characteristics
of resting‐state functional magnetic resonance imaging (rfMRI) signals. However, there are …
of resting‐state functional magnetic resonance imaging (rfMRI) signals. However, there are …