Modern Experience of Dementia Classification

Abstract

Experience of recognition Alzheimer`s dementia at the earliest stage needs attention of a wide range of information of the practicing staff, involved in diagnostics and treatment. Using Convolutional Neural Network provides additional possibilities for clear and detailed recognition of the actual stage of the disease, comparison with another objective data present in the database. The medical procedure needs complex implementation of the described experience into clinical practice. The main aim of this article is to develop an alternative approach of using modern technical data, new methods in recognition and treatment of Alzheimer`s dementia explained in scientific literature and practical activities using Convolutional Neural Network to provide further development of medical science. This paper focused on comparing Converted and Nondemented patients and used the ensemble learning methods to the development of the diagnosis of Alzheimer’s Disease.