Functional Ability Change Trajectory Simulation for Cognitive Decline Patients:
  
   Lead Investigator:    Xiaoxia Li
   Institution      :    North Dakota State University
   E-Mail           :    xiaoxia.li@ndsu.edu
   Proposal ID      :    592


   Publications:


1  Li X
   A semiparametric method to estimate cognitive decline in dementia
   Journal Article  IIE transactions in Healthcare Systems Engineering,8:303-314,2018,

   PUBLISHED





   Proposal Description:
   A MCI patient???s function ability state fluctuation can be viewed as a           particle doing Brownian motion along the time axis. It is a continuous process    and the patient???s function ability state can be measured at a given time, but   future development is uncertain.                                                                                                                                    The states are common symphonic expression that can be observed in daily life.    The variables will be derived from Form B7 (Functional Activities                 Questionnaire).                                                                                                                                                     The ability of executing 10 activities in FAQ will be 10 dimension of this        model. Our hypothesis is that a collection of demographic variables (such as      age, education) and pathological information are highly correlated to a certain   functional ability state.                                                                                                                                           Aim 1: Build the symptom trajectory simulation model with Brownian motion         theories. Sequence data mining will find the associated rules among the           10-dimensional state model. The model would integrate state duration and mine     several most frequent state transition processes.                                                                                                                   Aim 2: Forecast the MCI patient???s functional ability state using monte carlo    simulation.