Improving the prediction of Alzheimer's disease using machine learning methods

 
   Lead Investigator:    Victor Sheng
   Institution      :    University of Central Arkansas
   E-Mail           :    ssheng@uca.edu
   Proposal ID      :    1040



   Proposal Description:
   We will try to improve the prognosis of Alzheimer's disease using machine learning methods, by comparing with existing approaches. We are going to conduct research on Alzheimer?s disease classification with machine learning. Clinical evaluation data, neuropathology data, and MRI images will be used in our study. We will first conduct feature generation by using deep learning on MRI images. After that, we will perform feature selection to reduce the number of features. We will study the correlations between the features generated from images and the clinical features. Finally, we will try to improve the classification performance of Alzheimer?s disease.