International Journal For Multidisciplinary Research

E-ISSN: 2582-2160     Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 6 Issue 5 September-October 2024 Submit your research before last 3 days of October to publish your research paper in the issue of September-October.

A Survey on Early Detection and Classification of Alzheimer’s Disease Using Machine Learning and Deep Learning Techniques

Author(s) Rashmi V, Sankhya N Nayak
Country India
Abstract Alzheimer’s disease is a disease that is caused due to depositions of protein around the brain cells. These depositions will distort the regular working of the brain, slowly making the patient unable to think, talk or even do regular chores. People of age more than 60 are prone to Alzheimer’s. This disease has several stages which finally leads to dementia. In this regard, early detection of Alzheimer’s can help doctors to properly treat and to delay the further protein depositions in the brain. In order to do so, many machine learning and deep learning techniques have been employed, out of which linear regression, decision trees, CNN and support vector machine are some of them to name. This paper provides a detailed review on dissimilar works proposed by different authors and also discusses the performance analysis of each proposed model.
Keywords Alzheimer’s, Dementia, Support vector machine (SVM), CNN architecture.
Field Computer Applications
Published In Volume 6, Issue 5, September-October 2024
Published On 2024-09-06
Cite This A Survey on Early Detection and Classification of Alzheimer’s Disease Using Machine Learning and Deep Learning Techniques - Rashmi V, Sankhya N Nayak - IJFMR Volume 6, Issue 5, September-October 2024. DOI 10.36948/ijfmr.2024.v06i05.27137
DOI https://doi.org/10.36948/ijfmr.2024.v06i05.27137
Short DOI https://doi.org/gwfgrr

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