COGNITIVE IMPAIRMENT PROGRESSION ANALYSIS USING AGENT-BASED SIMULATION APPROACH
  
   Lead Investigator:    Xue Liang
   Institution      :    The University of Michigan-Dearborn
   E-Mail           :    liangxue@umich.edu
   Proposal ID      :    495


   Publications:


1  Liang X, Liu YW
   Cognitive Impairment Progression Analysis Using Agent-Based Simulation Approach
   2015   Abstract  ISERC , 

   ACCEPTED





   Proposal Description:
   The preclinical phase of Alzheimer???s disease (AD) is thought to be a long-term progressive process towards severe cognitive impairment. Previous study has identified several influential risk factors such as age, smoking status, blood pressure, total serum cholesterol, current impairment status, and so on.  The risk factors of our study include age, gender, race, blood pressure, cholesterol and substance abuse situation. The project aims to present a longitudinal study of the impact of these factors on the progression of is used to represent the various patients with different physical situations and analyze the influence of listed risk factor on the occurrence probability of AD. The main contribution of this project is that it proposed a way to identify influential risk factors and visualize the influence on timeline by simulating physical changes and the interaction of patients and environmental factors such as physicians and relations.