Investigation of Ensemble based Machine Learning Methods for the prediction of

 
   Lead Investigator:    Adil Muhammad Aslam Mir
   Institution      :    Universtiy of Azad Jammu and Kashmir
   E-Mail           :    adilmir300@gmail.com
   Proposal ID      :    807



   Proposal Description:
   As far as the basic aim of this research work is concerned, i am basically going to investigate if the ensemble methods are used to learn from the past clinical data of patients having Alzheimer's disease, these methods gives higher accuracy in prediction of the future coming data of different patients that whether the patient have disease or not and also at what level.  Analysis of ensemble approaches i.e. boosting and bagging for classification of dementia disease in such a way that from the given attributes we can correctly classify whether the patient has dementia or not. Finally, i am going to develop a GUI based system which contains a model learned from past visits i.e. those diagnosed with dementia or normal and this system will predicts or classifies the dementia.