TY - JOUR
T1 - A Predictive and Preventive Model for Onset of Alzheimer's Disease
AU - Singhania, Udit
AU - Tripathy, Balakrushna
AU - Hasan, Mohammad Kamrul
AU - Anumbe, Noble C.
AU - Alboaneen, Dabiah
AU - Ahmed, Fatima Rayan Awad
AU - Ahmed, Thowiba E.
AU - Nour, Manasik M.Mohamed
N1 - Publisher Copyright:
© Copyright © 2021 Singhania, Tripathy, Hasan, Anumbe, Alboaneen, Ahmed, Ahmed and Nour.
PY - 2021/10/11
Y1 - 2021/10/11
N2 - Alzheimer's Disease (AD) is a neurodegenerative irreversible brain disorder that gradually wipes out the memory, thinking skills and eventually the ability to carry out day-to-day tasks. The amount of AD patients is rapidly increasing due to several lifestyle changes that affect biological functions. Detection of AD at its early stages helps in the treatment of patients. In this paper, a predictive and preventive model that uses biomarkers such as the amyloid-beta protein is proposed to detect, predict, and prevent AD onset. A Convolution Neural Network (CNN) based model is developed to predict AD at its early stages. The results obtained proved that the proposed model outperforms the traditional Machine Learning (ML) algorithms such as Logistic Regression, Support Vector Machine, Decision Tree Classifier, and K Nearest Neighbor algorithms.
AB - Alzheimer's Disease (AD) is a neurodegenerative irreversible brain disorder that gradually wipes out the memory, thinking skills and eventually the ability to carry out day-to-day tasks. The amount of AD patients is rapidly increasing due to several lifestyle changes that affect biological functions. Detection of AD at its early stages helps in the treatment of patients. In this paper, a predictive and preventive model that uses biomarkers such as the amyloid-beta protein is proposed to detect, predict, and prevent AD onset. A Convolution Neural Network (CNN) based model is developed to predict AD at its early stages. The results obtained proved that the proposed model outperforms the traditional Machine Learning (ML) algorithms such as Logistic Regression, Support Vector Machine, Decision Tree Classifier, and K Nearest Neighbor algorithms.
KW - Alzheimer's disease
KW - convolutional neural networks
KW - machine learning
KW - prediction
KW - prevention
KW - support vector machine
UR - http://www.scopus.com/inward/record.url?scp=85117759748&partnerID=8YFLogxK
U2 - 10.3389/fpubh.2021.751536
DO - 10.3389/fpubh.2021.751536
M3 - Article
C2 - 34708019
AN - SCOPUS:85117759748
SN - 2296-2565
VL - 9
JO - Frontiers in Public Health
JF - Frontiers in Public Health
M1 - 751536
ER -