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. 2010 Oct;43(5):791-9.
doi: 10.1016/j.jbi.2010.06.003. Epub 2010 Jun 15.

Chronic disease modeling and simulation software

Jacob Barhak  1 , Deanna J M Isaman, Wen Ye, Donghee Lee
Affiliations

Chronic disease modeling and simulation software

Jacob Barhak et al. J Biomed Inform. 2010 Oct.

Abstract

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.

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Figures

FIGURE 1
FIGURE 1
The Michigan model for diabetes. IGT means Impaired Glucose Tolerance, ESRD means End Stage Renal Disease, and MI means Myocardial Infarction.
FIGURE 2
FIGURE 2
Flow diagram of the Monte-Carlo simulation
FIGURE 3
FIGURE 3
An example of the project form. This form allows defining the model and population set to be used as well as simulation parameters such as the number of simulation steps and the number of repetitions. The form allows manipulating rules according to their phase in the simulation. Each phase is displayed in a different tab for the convenience of the user.
See this image and copyright information in PMC

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