This paper is published in Volume-7, Issue-2, 2021
Area
Biomedical
Author
Jovita Lasrado, Preetham Wilson Noronha
Org/Univ
Vivekananda College of Engineering and Technology, Puttur, Karnataka, India
Pub. Date
18 March, 2021
Paper ID
V7I2-1209
Publisher
Keywords
OASIS, ADNI, MRI, SVM, Neural Network

Citationsacebook

IEEE
Jovita Lasrado, Preetham Wilson Noronha. A survey, novel approach to detect Alzheimer’s disease at an early stage, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Jovita Lasrado, Preetham Wilson Noronha (2021). A survey, novel approach to detect Alzheimer’s disease at an early stage. International Journal of Advance Research, Ideas and Innovations in Technology, 7(2) www.IJARIIT.com.

MLA
Jovita Lasrado, Preetham Wilson Noronha. "A survey, novel approach to detect Alzheimer’s disease at an early stage." International Journal of Advance Research, Ideas and Innovations in Technology 7.2 (2021). www.IJARIIT.com.

Abstract

Alzheimer's disease is one of the most common neurodegenerative disorders that predominantly affect memory. This happens when neurons lose their structure and function over time. Since there is currently no cure for Alzheimer's disease, it is important to identify the disease early and to slow its development as much as possible. Various computational approaches have been used in various studies to diagnose Alzheimer's disease. The main purpose of this paper is to analyze feature extraction and classification algorithms in order to determine the best method for diagnosing Alzheimer's disease. The following sections make up this paper: (i) a brief overview of the disease and the case; and (ii) a study of feature extraction and classification algorithms
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