Machine Learning Framework for Implementing Alzheimer’s Disease

Alzheimer’s disease is the one of the worldwide emerging disease. Alzheimer is one of the types of Dementia. It is a brain disorder disease, which occurs for the people of age 60 and now a day it affects the middle age people also. So the researchers focus on this disease and they are trying to control the disease with various research techniques. Initially, they did the research for finding the drug for this disease then the focusing turned on analysis and prediction of the disease. Now the research is on prediction in the early stage. Feature extraction is one of the issues in the prediction using large dataset processing so the researchers are focusing in the feature extraction during the prediction of the disease. In this paper the feature extraction and feature selection process are performed using the machine learning algorithm, and then classification is done on the oasis longitudinal dataset.