Early-stage Alzheimer's disease prediction using machine learning models

C Kavitha, V Mani, SR Srividhya, OI Khalaf… - Frontiers in public …, 2022 - frontiersin.org
Alzheimer's disease (AD) is the leading cause of dementia in older adults. There is currently
a lot of interest in applying machine learning to find out metabolic diseases like Alzheimer's …

Denouements of machine learning and multimodal diagnostic classification of Alzheimer's disease

B Naik, A Mehta, M Shah - … Computing for Industry, Biomedicine, and Art, 2020 - Springer
Alzheimer's disease (AD) is the most common type of dementia. The exact cause and
treatment of the disease are still unknown. Different neuroimaging modalities, such as …

[PDF][PDF] A novel approach of CT images feature analysis and prediction to screen for corona virus disease (COVID-19)

AA Farid, GI Selim, HAA Khater - Preprints, 2020 - academia.edu
The paper demonstrates the analysis of Corona Virus Disease based on a probabilistic
model. It involves a technique for classification and prediction by recognizing typical and …

Comparative analysis of various machine learning algorithms for detecting dementia

D Bansal, R Chhikara, K Khanna, P Gupta - Procedia computer science, 2018 - Elsevier
Nowadays, there has been recent interest in applying machine learning techniques to the
neurodegenerative disorders. Dementia is one such emerging global health issue and its …

A survey on classification algorithms of brain images in Alzheimer's disease based on feature extraction techniques

RA Hazarika, AK Maji, SN Sur, BS Paul… - IEEE Access, 2021 - ieeexplore.ieee.org
Alzheimer's disease (AD) is one of the most serious neurological disorders for elderly
people. AD affected patient experiences severe memory loss. One of the main reasons for …

Performance of classification based on PCA, linear SVM, and Multi-kernel SVM

S Alam, M Kang, JY Pyun… - 2016 Eighth International …, 2016 - ieeexplore.ieee.org
Many studies are based on automatic or semi-automatic measurement of various a priori
brain Region of Interest (ROI) to compare and discriminate between healthy controls (HC) …

Classification of magnetic resonance images using bag of features for detecting dementia

D Bansal, K Khanna, R Chhikara, RK Dua… - Procedia Computer …, 2020 - Elsevier
In this paper, a model is presented for classification of Dementia brain disease using
magnetic resonance imaging. Bag of features (BOF) is used for extracting the features of …

[HTML][HTML] Alzheimer's disease early diagnosis using manifold-based semi-supervised learning

M Khajehnejad, F Habibollahi Saatlou… - Brain sciences, 2017 - mdpi.com
Alzheimer's disease (AD) is currently ranked as the sixth leading cause of death in the
United States and recent estimates indicate that the disorder may rank third, just behind …

[PDF][PDF] Applying artificial intelligence techniques for prediction of neurodegenerative disorders: A comparative case-study on clinical tests and neuroimaging tests with …

AA Farid, G Selim, H Khater - Preprints, 2020 - researchgate.net
Alzheimer's disease (AD) detection acting as an essential role in global health care due to
misdiagnosis and sharing many clinical sets with other types of dementia, and costly …

[PDF][PDF] Applying artificial intelligence techniques to improve clinical diagnosis of Alzheimer's disease

AA Farid, GI Selim, HAA Khater - European Journal of …, 2020 - researchgate.net
Alzheimer's disease (AD) is a significant regular type of dementia that causes damage in
brain cells. Early detection of AD acting as an essential role in global health care due to …