Machine learning and metaheuristic based for Alzheimer’s disease diagnosis

Abstract

[EN] Alzheimer's disease was first described in 1907 by Alois Alzheimer. It is a progressive neurological disorder with a gradual onset of dementia. Although Alzheimer's was initially a rare disease, it is now one of the most common diseases in the elderly and is the fourth most common cause of death in this age group in the rankings. In this paper, we present a new methods of group intelligence to improve image threshold in Alzheimer's diagnosis. The challenge of this method is the uncertainty of metaheuristic methods in solving optimization problems