Predicting Alzheimer's Disease with Hybrid ANN-BBO algorithm

 
   Lead Investigator:    Riya Naval
   Institution      :    ABV-IIITM, Gwalior
   E-Mail           :    riyanaval28@gmail.com
   Proposal ID      :    650



   Proposal Description:
   This is an ongoing project which aims to predict Alzheimer's with a hybrid ANN-Bio-geography Based Optimization Algorithm. The basic idea would be the closest estimation in a case of Alzheimer's where we would be differentiating the symptoms from possibility of it being             Huntington's or Parkinson's or any reversible dementia based on adding weights to the parameters(positive and negative) and progressively improving them in each epoch. An algorithmic approach may make the task of estimation preferably much accurate. The Hybrid algorithm is developed  by me and I expect to get much better results for Alzheimer's diagnosis than simple BP-ANN. I would therefore need a vast data set with as many  relatable parameters that lie common to Alzheimer's and any other dementia causing diseases.