  A number of life threatening neuro-degenerative disorders had degraded the
quality of life for the older generation in particular. Dementia is one such
symptom which may lead to a severe condition called Alzheimer's disease if not
detected at an early stage. It has been reported that the progression of such
disease from a normal stage is due to the change in several parameters inside
the human brain. In this paper, an innovative metaheuristic algorithms based
ViT model has been proposed for the identification of dementia at different
stage. A sizeable number of test data have been utilized for the validation of
the proposed scheme. It has also been demonstrated that our model exhibits
superior performance in terms of accuracy, precision, recall as well as
F1-score.
