Dissertation: Classifying Alzheimer's Disease and its Prodromal Stages from
Electronic Health Records using Predictive Analytics and Machine Learning 
   Lead Investigator:    Michael Kleiman
   Institution      :    Florida Atlantic University
   E-Mail           :    kleimanm2013@fau.edu
   Proposal ID      :    1247



   Proposal Description:
   I aim to examine how electronic health records, obtained through normal   diagnostic exams of Alzheimer?s disease, can be used to create an automated     system for Alzheimer?s detection able to assist physicians in diagnosing the    disorder as well as identifying its precursor stages. Three studies will be       performed: an examination of methods for detecting Alzheimer?s disease using    predictive analytics of electronic health records, the development of a           technique for maximizing temporal and financial efficiency in identifying the most predictive clinical procedures, and the investigation of multidimensional analyses when detecting early forms of the disorder.