Early diagnosis of Alzheimer using mini mental state examination method: MMSE

This study aims to analyse the current method in diagnosing early Alzheimer disease and offer a new method to improve the performance of bioinformatics techniques. It proposes a hybrid MRI image processing method to improve the image quality for Alzheimer disease classification. This hybrid method has four stages consisting of image pre-processing, segmentation, feature extraction, and classification. Experimental results using a hybrid image pre-processing method apply on original MRI image data. The study shows that the Mini Mental State Examination (MMSE) method together with the residual intensity non-uniformity method in the SPM machine could make MRI image more effective with high accuracy and sensitive rates. The study shows that a well-designed pre-processing stage could improve the image quality of the subject for final classification. It can help researchers to gain high value of diagnosing early Alzheimer disease by filtering most of the image noise.