Exploring of classification methods for early detection of Alzheimer’s disease

Abstract

Alzheimer's disease (AD) is a degenerative brain disease, a common health problem in elderly pesople which causes decline in memory and affected on nerve cells. AD has different stages like mild congestive impairment (MIC) (early stage), moderate (middle stage), severe (late stage) it is essential to detect AD early in MIC, so that pre-emptive measures can be taken. Significant research was carried out over the past century to diagnose and detect this disease early. The objective of the article is provide a review evaluation and critical analysis of the recent research work done to early diagnosis of AD using Machine Learning Strategies.