Deep Learning Application in Alzheimer Disease Diagnoses and Prediction

Abstract

The field of Alzheimer's Disease classification and prediction recently gains more and more attention. Traditionally, the method treating such a problem was using the combination of traditional machine learning algorithm and deep learning algorithm. But there are constant efforts made by researchers to search for the potential of only using the deep learning method. This article compares the pros and cons of using deep learning method in the field of Alzheimer's Disease. Even though traditional machine learning method may perform slightly better right now, with the accumulation of data, it is totally possible to only use the deep learning method to make the Alzheimer's Disease classification and prediction.