EARLY DETECTION OF ALZHEIMERS DISEASE USING MACHINE LEARNING TECHNIQUES

Abstract

Alzheimer's is a neurological disorder. According to latest reports, it is the sixth leading cause of death. There are three stages of disease: Mild Alzheimer's, Moderate Alzheimer's and Severe Alzheimer's. Although the disease is incurable, earlier detection can help provide proper treatment hence prevent further brain tissue damage. The method used for Disease Detection is basically analysing the MRI Image. This may cause misdiagnosis and is very time consuming.Deep Learning is the method deployed to achieve the desired results and the model used is MobileNet where technique of transfer learning is applied.