Classifying Alzheimer’s Disease and Predicting its Occurrence


Authors : Deepa B; Jayasri K R; Prathiksha S; Srushti M C; Dr. Chethana K

Volume/Issue : Volume 7 - 2022, Issue 8 - August

Google Scholar : https://bit.ly/3IIfn9N

Scribd : https://bit.ly/3QVo71b

DOI : https://doi.org/10.5281/zenodo.7027137

Alzheimer’s disease (AD) is the most common type of dementia which is an advancing brain disorder. AD destroys cells in the brain which causes memory related issues and day-to-day functioning. AD sometimes may result in fatal conditions. Since, there is no cure for AD presently, effective control of AD depends on early detection and/or prediction. Mild Cognitive Impairment (MCI) is said to be the precursor phase to AD. This project is divided into two sections. The first deals with detection and classification of AD with respect to MCI and the second section deals with prediction of AD in case if the person of interest is currently non-demented.

Keywords : Alzheimer's disease, CNN, Kaggle, MCI, OASIS, Logistic Regression.

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