A Comparative Analysis of Machine Learning Algorithms to Predict Alzheimer’s Disease

Author:

Bari Antor Morshedul1ORCID,Jamil A. H. M. Shafayet1ORCID,Mamtaz Maliha1ORCID,Monirujjaman Khan Mohammad1ORCID,Aljahdali Sultan2ORCID,Kaur Manjit3ORCID,Singh Parminder4ORCID,Masud Mehedi2ORCID

Affiliation:

1. Electrical and Computer Engineering Department, North South University, Dhaka 1229, Bangladesh

2. Department of Computer Science, College of Computers and Information Technology, Taif University, P O. Box 11099, Taif 21944, Saudi Arabia

3. Computer Science Engineering, School of Engineering and Applied Sciences, Bennett University, Greater Noida 201310, India

4. School of Computer Science and Engineering, Lovely Professional University, Phagwara, India

Abstract

Alzheimer’s disease has been one of the major concerns recently. Around 45 million people are suffering from this disease. Alzheimer’s is a degenerative brain disease with an unspecified cause and pathogenesis which primarily affects older people. The main cause of Alzheimer’s disease is Dementia, which progressively damages the brain cells. People lost their thinking ability, reading ability, and many more from this disease. A machine learning system can reduce this problem by predicting the disease. The main aim is to recognize Dementia among various patients. This paper represents the result and analysis regarding detecting Dementia from various machine learning models. The Open Access Series of Imaging Studies (OASIS) dataset has been used for the development of the system. The dataset is small, but it has some significant values. The dataset has been analyzed and applied in several machine learning models. Support vector machine, logistic regression, decision tree, and random forest have been used for prediction. First, the system has been run without fine-tuning and then with fine-tuning. Comparing the results, it is found that the support vector machine provides the best results among the models. It has the best accuracy in detecting Dementia among numerous patients. The system is simple and can easily help people by detecting Dementia among them.

Funder

Taif University

Publisher

Hindawi Limited

Subject

Health Informatics,Biomedical Engineering,Surgery,Biotechnology

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