AUTHOR=Singhania Udit , Tripathy Balakrushna , Hasan Mohammad Kamrul , Anumbe Noble C. , Alboaneen Dabiah , Ahmed Fatima Rayan Awad , Ahmed Thowiba E. , Nour Manasik M. Mohamed 

TITLE=A Predictive and Preventive Model for Onset of Alzheimer's Disease

JOURNAL=Frontiers in Public Health

VOLUME=9

YEAR=2021

URL=https://www.frontiersin.org/journals/public-health/articles/10.3389/fpubh.2021.751536

DOI=10.3389/fpubh.2021.751536

ISSN=2296-2565

ABSTRACT=<p>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.</p>