Volume 19 No 8 (2021)
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PREDICTION OF BRAIN MRI SYMPTOMS FOR ALZHEIMER’S DISEASE DIAGNOSIS USING CNN BASED APPROACH
A Vishnuvardhan Reddy, Dr. Dhyan Chandra Yadav
Abstract
The most common cause of dementia in older persons is Alzheimer's Disease (AD). The neurodegenerative changes occur in the brain when an individual has Alzheimer disease. Alzheimer's is a neurodegenerative disease that specifically affects detailed mental analysis through changes in the central nervous system and cognitive functions. Furthermore, official data indicate a significant increase in the number of Alzheimer's disease-related deaths. Thus, the possibility that an Alzheimer's patient would cases might be increased by early diagnosis. Alzheimer's is an unpredictable disease. Treatment efficiency and the amount of minor damage avoided are higher when AD is treated early rather than later. Therefore, this analysis shows that early diagnosis utilizing Convolutional Neural Networks (CNN) reduces the annual death rates from Alzheimer's disease significantly. Hence, in terms of accuracy, precision, and recall, this analysis generates better results.
Keywords
Alzheimer’s Disease, Convolutional Neural Network (CNN), Prediction
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