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A number of life threatening neuro-degenerative disorders had degraded thequality of life for the older generation in particular. Dementia is one suchsymptom which may lead to a severe condition called Alzheimer's disease if notdetected at an early stage. It has been reported that the progression of suchdisease from a normal stage is due to the change in several parameters insidethe human brain. In this paper, an innovative metaheuristic algorithms basedViT model has been proposed for the identification of dementia at differentstage. A sizeable number of test data have been utilized for the validation ofthe proposed scheme. It has also been demonstrated that our model exhibitssuperior performance in terms of accuracy, precision, recall as well asF1-score.

A Comparative Analysis on Metaheuristic Algorithms Based Vision Transformer Model for Early Detection of Alzheimer's Disease