Simple Classification of the Alzheimer’s Severity in Supporting Strengthening the Diagnosis of Patients based on ROC Diagram

Abstract

Abstract Alzheimer’s disease is the most common cause of dementia and accounts for 60-80 percent of all cases of dementia. Dementia is a brain disorder that results in the loss of one’s intellectual and social abilities. Progressive disease is one characteristic of this disease that interferes with a person’s mental functions, such as memory and behavior. Experts believe that Alzheimer’s disease interferes with part of the cell factory so that it does not go well. These scientists are not sure how this problem started, but like a real factory, backups, and disruptions in one system cause problems in other areas. When damage spreads, cells lose the ability to do work and eventually die, causing changes in the brain that cannot be changed. At present, the Conventional diagnosis of the severity of Alzheimer’s is still carrying. The main objective of our research is to develop a Computer-Aided Diagnosis tool in the classification of the severity of Alzheimer’s. This paper will discuss optimizing the use of the Receiver Operating Characteristics (ROC) parameter in identifying the severity of Alzheimer’s. The main objective of this research is the development of automated Alzheimer’s diagnoses in developing countries and rural areas that have limited health facilities and human resources. So even though the method used is relatively simple, it is proven to have a high level of accuracy above 90%. These results indicate that the use of this method has very promising results to be applied in developing countries and rural areas.