Machine Learning in Differential Diagnosis

 
   Lead Investigator:    Nihar Patel
   Institution      :    UC Berkeley
   E-Mail           :    NiharPatel@berkeley.edu
   Proposal ID      :    669



   Proposal Description:
   This project aims to use machine learning methods in differential diagnosis of    dementia.                                                                         Our first goal is to select and develop meaningful patient attributes in the      data set.                                                                         Second, we will select, edit, and train different machine learning models on      the previously curated data set.                                                  Third, we will then test and evaluate the model model produced by machine         learning.                                                                         Fourth, We will develop a pipeline to repeat this process until sufficient        accuracy is demonstrated, after which we will test the results on a               previously-untouched fraction of the data set.                                    Fifth, pending the success of this process, we will develop a web-based tool      for entering NACC test results on current patients and providing the output of    this new data from the developed model.