Integrative computational model for predicting conversion from mild cognitive
impairment to Alzheimer's disease 
   Lead Investigator:    Magda Bucholc
   Institution      :    Ulster University
   E-Mail           :    bucholc-m@email.ulster.ac.uk
   Proposal ID      :    1026



   Proposal Description:
   Our proposed project aims to develop a hybrid computational framework to integrate large heterogeneous biological and clinical data of dementia to predict the conversion from early stage mild cognitive impairment (MCI) to Alzheimer?s disease (AD) of an individual. Our model will consist of novel feature selection approach and multi-modality disease classification technique based on semi-supervised machine learning. Particularly, we plan to extensively exploit the predictive power of cognitive and functional tests as it has not been fully addressed by classical statistical methods.