International Journal For Multidisciplinary Research
E-ISSN: 2582-2160
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A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
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Volume 6 Issue 5
September-October 2024
Indexing Partners
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 |
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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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