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

Frontiers in Public Health

Mohammad Kamrul Hasan¹  Fatima Rayan Awad Ahmed²  Dabiah Alboaneen³  Thowiba E. Ahmed³  Manasik M. Mohamed Nour⁴  Noble C. Anumbe⁵  Udit Singhania⁶  Balakrushna Tripathy⁷ 

[1] Center for Cyber Security, Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia (UKM), Bangi, Malaysia;Computer Science Department, College of Computer Engineering and Science, Prince Sattam Bin Abdulaziz University, Al-Kharj, Saudi Arabia;Computer Science Department, College of Science and Humanities, Imam Abdulrahman Bin Faisal University, Jubail, Saudi Arabia;Department of Mathematics, College of Science and Humanity, Prince Sattam Bin Abdulaziz University, Al-Kharj, Saudi Arabia;Department of Mechanical Engineering, University of South Carolina, Columbia, SC, United States;School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, India;School of Information Technology and Engineering, Vellore Institute of Technology, Vellore, India;

关键词: machine learning;    Alzheimer's disease;    prediction;    prevention;    convolutional neural networks;    support vector machine;   

DOI  :  10.3389/fpubh.2021.751536

来源: Frontiers

【 摘 要 】

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.

【 授权许可】

CC BY