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
Abstract :
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.
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.
