A computational system for aiding diagnosis of Alzheimer's Disease and related
disorders 
   Lead Investigator:    Carolina Carvalho
   Institution      :    Fluminense Federal University
   E-Mail           :    carolmc@midiacom.uff.br
   Proposal ID      :    1165



   Proposal Description:
   Data mining research particularly to distinguish between dementia due to Alzheimer's Disease from other types of dementia using data including predisposing factors and exams results. I intend to propose a Clinical Decision support system (CDSS) to aid physicians in diagnosis of AD and related disorders.  The system will output diagnostic suggestions based on a decision model built using supervised machine learning and clinical data including predisposing factors and results of neuropsychological tests. The system will have the ability to refine its decision model using the final diagnosis reported by physician and will allow new predisposing factors and neuropsychological tests to be included and its decision model to be adapted automatically.