Chronic disease modeling and simulation software.
Computers allow describing the progress of a disease using computerized models. These models allow aggregating expert and clinical information to allow researchers and decision makers to forecast disease progression. To make this forecast reliable, good models and therefore good modeling tools are required. This paper will describe a new computer tool designed for chronic disease modeling. The modeling capabilities of this tool were used to model the Michigan model for diabetes. The modeling approach and its advantages such as simplicity, availability, and transparency are discussed.
Barhak
Jacob
J
University of Michigan, Ann Arbor, MI, USA. jbarhak@umich.edu
Isaman
Deanna J M
DJ
Ye
Wen
W
Lee
Donghee
D
D000328:Adult; D002908:Chronic Disease / Q000145:classification*; D019295:Computational Biology / Q000379:methods; D003198:Computer Simulation; D003920:Diabetes Mellitus / Q000378:metabolism / Q000473:pathology / Q000503:physiopathology; D018450:Disease Progression; D006801:Humans; D008297:Male; D008390:Markov Chains; D008490:Medical Informatics / Q000379:methods*; D008875:Middle Aged; D008954:Models, Biological; D015233:Models, Statistical; D009010:Monte Carlo Method; D012984:Software; D014584:User-Computer Interface