Machine learning in mental health: a scoping review of methods and applications
BackgroundThis paper aims to synthesise the literature on machine learning (ML) and big
data applications for mental health, highlighting current research and applications in …
data applications for mental health, highlighting current research and applications in …
A comprehensive report on machine learning-based early detection of alzheimer's disease using multi-modal neuroimaging data
S Sharma, PK Mandal - ACM Computing Surveys (CSUR), 2022 - dl.acm.org
Alzheimer's Disease (AD) is a devastating neurodegenerative brain disorder with no cure.
An early identification helps patients with AD sustain a normal living. We have outlined …
An early identification helps patients with AD sustain a normal living. We have outlined …
Automated detection of Alzheimer's disease using brain MRI images–a study with various feature extraction techniques
UR Acharya, SL Fernandes, JE WeiKoh… - Journal of medical …, 2019 - Springer
The aim of this work is to develop a Computer-Aided-Brain-Diagnosis (CABD) system that
can determine if a brain scan shows signs of Alzheimer's disease. The method utilizes …
can determine if a brain scan shows signs of Alzheimer's disease. The method utilizes …
Classification of Alzheimer's disease based on eight-layer convolutional neural network with leaky rectified linear unit and max pooling
SH Wang, P Phillips, Y Sui, B Liu, M Yang… - Journal of medical …, 2018 - Springer
Alzheimer's disease (AD) is a progressive brain disease. The goal of this study is to provide
a new computer-vision based technique to detect it in an efficient way. The brain-imaging …
a new computer-vision based technique to detect it in an efficient way. The brain-imaging …
[HTML][HTML] ADVIAN: Alzheimer's disease VGG-inspired attention network based on convolutional block attention module and multiple way data augmentation
SH Wang, Q Zhou, M Yang… - Frontiers in Aging …, 2021 - ncbi.nlm.nih.gov
Aim: Alzheimer's disease is a neurodegenerative disease that causes 60–70% of all cases
of dementia. This study is to provide a novel method that can identify AD more accurately …
of dementia. This study is to provide a novel method that can identify AD more accurately …
[HTML][HTML] A review of the application of deep learning in the detection of Alzheimer's disease
S Gao, D Lima - International Journal of Cognitive Computing in …, 2022 - Elsevier
Alzheimer's disease (AD) is the most common chronic disease in the elderly, with a high
incidence rate. In recent years, deep learning has become popular in the field of medical …
incidence rate. In recent years, deep learning has become popular in the field of medical …
A hyper-heuristic for improving the initial population of whale optimization algorithm
M Abd Elaziz, S Mirjalili - Knowledge-Based Systems, 2019 - Elsevier
This paper improves the performance of the recently-proposed Whale Optimization
Algorithm (WOA). WOA is a meta-heuristic that simulates the foraging behavior of humpback …
Algorithm (WOA). WOA is a meta-heuristic that simulates the foraging behavior of humpback …
Multivariate approach for Alzheimer's disease detection using stationary wavelet entropy and predator-prey particle swarm optimization
Y Zhang, S Wang, Y Sui, M Yang, B Liu… - Journal of …, 2018 - content.iospress.com
Background: The number of patients with Alzheimer's disease is increasing rapidly every
year. Scholars often use computer vision and machine learning methods to develop an …
year. Scholars often use computer vision and machine learning methods to develop an …
Diagnosis method of thyroid disease combining knowledge graph and deep learning
X Chai - IEEE Access, 2020 - ieeexplore.ieee.org
The scale of medical data is growing rapidly, and these data come from different data
sources. The amount of data is huge, the production speed is fast, and the format is different …
sources. The amount of data is huge, the production speed is fast, and the format is different …
3D CNN design for the classification of Alzheimer's disease using brain MRI and PET
Attempt to diagnose Alzheimer's disease (AD) using imaging modalities is one of the scopes
of deep learning. While considering the theoretical background from past studies, we are …
of deep learning. While considering the theoretical background from past studies, we are …