Time Series and Dynamic Data System Identification for the Computer-Aided AIDS Modeling and Analysis
Date of Award
Summer 1988
Document Type
Thesis - Restricted
Degree Name
Master of Science (MS)
Department
Biomedical Engineering
First Advisor
Feng, Xin
Second Advisor
Harris, Gerald F.
Third Advisor
Niederjohn, Russell
Abstract
There has been a tremendous, growing concern about the effects of Acquired Immune Deficiency Syndrome (AIDS) on our society and human health. This thesis is concerned with performing the AIDS analysis by using the Dynamic Data System Identification (DDSI) method. For this research, U. S. nationwide AIDS data was collected for AIDS modeling purposes. The DDSI method was implemented to build the dynamic stochastic AIDS model. The established model presented both A deterministic and stochastic approaches to the AIDS dynamic features. Predictions were made over a period during which actual data. was available. The results demonstrate that the DDSI method is effective in the AIDS analysis, and can be extended to other biomedical analysis applications. The last consideration for this thesis was the potential for an intelligent modeling software. The characteristics of the software package are given and structured to the format of a potential program.
Recommended Citation
Sun, Gang, "Time Series and Dynamic Data System Identification for the Computer-Aided AIDS Modeling and Analysis" (1988). Master's Theses (1922-2009) Access restricted to Marquette Campus. 4194.
https://epublications.marquette.edu/theses/4194