INVESTIGATION ON EARLY RECOGNITION OF ALZHEIMER’S AILMENT BY MEANS OF DIFFERENT KINDS OF NEURAL NETWORK ARCHITECTURE

Abstract

Alzheimer’s disease (AD) is an irreversible, progressive neurological brain disorder which abolishes brain cells producing an individual to mislay their memory, mental functions and ability to continue daily activities. Diagnostic symptoms were experienced by patients typically at later stages after irreversible neural damage occurs. Recognition of Alzheimer’s disease is challenging because sometimes the signs that distinguish AD MRI data, can be found in MRI data of normal healthy brains of older people. Even though this disease is not completely curable, earlier detection can support for suitable treatment and to avoid permanent damage to mind tissues. Age and genetics are the extreme risk factors for this disease. This paper valuations the latest reports on AD detection based on diverse types of Neural Network Architectures.