PREDICTION OF ALZHEIMER DISEASE USING MACHINE LEARNING TECHNIQUES

ABSTRACT

Alzheimer Disease (AD) is a disorder that affects memory functions first, then slowly affect cognitive functions with behavioral deteriorations and eventually cause death. In the literature, Machine Learning (ML) techniques have shown improvement in the prediction of AD and other medical related illnesses.

The purpose of this study is to design and implement an hybrid ensemble approach using both feature selection techniques and ensemble of classifiers for the prediction of AD.

Experimental result shows an improvement in the study when compared with others.