Constructing domain ontology for Alzheimer disease using deep learning based approach

WH Bangyal, NU Rehman, A Nawaz, K Nisar… - Electronics, 2022 - mdpi.com
Facts can be exchanged in multiple fields with the help of disease-specific ontologies. A
range of diverse values can be produced by mining ontological approaches for …

A comprehensive fuzzy ontology-based decision support system for Alzheimer's disease diagnosis

N Shoaip, A Rezk, S El-Sappagh, L Alarabi… - IEEE …, 2020 - ieeexplore.ieee.org
The World Health Organization (WHO) indicates that the proportion of the elderly will soon
include nearly a quarter of the world population. Ensuring that health systems are prepared …

[PDF][PDF] Automatic ontology construction using text corpora and ontology design patterns (ODPs) in Alzheimer's disease

DE Cahyani, I Wasito - Jurnal Ilmu …, 2017 - download.garuda.kemdikbud.go.id
An ontology is defined as an explicit specification of a conceptualization, which is an
important tool for modeling, sharing and reuse of domain knowledge. However, ontology …

Classification of alzheimer's disease using traditional classifiers with pre-trained cnn

HR Almadhoun, SS Abu-Naser - 2021 - philpapers.org
Alzheimer's disease (AD) is one of the most common types of dementia. Symptoms appear
gradually and end with severe brain damage. People with Alzheimer's disease lose the …

An Accurate Prediction and Diagnosis of Alzheimer's Disease using Deep Learning

S Baskar, I Nandhini, ML Prasad… - 2023 IEEE North …, 2023 - ieeexplore.ieee.org
Recent years have seen an increase in the amount of focus placed on the study of
Alzheimer's disease (AD) categorization and prediction. Historically, one would handle such …

Linked open data-based framework for automatic biomedical ontology generation

M Alobaidi, KM Malik, S Sabra - BMC bioinformatics, 2018 - Springer
Background Fulfilling the vision of Semantic Web requires an accurate data model for
organizing knowledge and sharing common understanding of the domain. Fitting this …

Alzheimer's disease diagnosis and classification using deep learning techniques

W Al Shehri - PeerJ Computer Science, 2022 - peerj.com
Alzheimer's disease is an incurable neurodegenerative disease that affects brain memory
mainly in aged people. Alzheimer's disease occurs worldwide and mainly affects people …

Influence of medical domain knowledge on deep learning for Alzheimer's disease prediction

B Ljubic, S Roychoudhury, XH Cao, M Pavlovski… - Computer methods and …, 2020 - Elsevier
Background and objective Alzheimer's disease (AD) is the most common type of dementia
that can seriously affect a person's ability to perform daily activities. Estimates indicate that …

Deep learning based computer aided diagnosis of Alzheimer's disease: a snapshot of last 5 years, gaps, and future directions

A Bhandarkar, P Naik, K Vakkund… - Artificial Intelligence …, 2024 - Springer
Alzheimer's disease affects around one in every nine persons among the elderly population.
Being a neurodegenerative disease, its cure has not been established till date and is …

Utilization of a convolutional method for Alzheimer disease diagnosis

H Allioui, M Sadgal, A Elfazziki - Machine Vision and Applications, 2020 - Springer
With the increasing number of cases as well as care costs, Alzheimer's disease has gained
more interest in several scientific communities especially medical and computer science …