Diagnostic Simulation Tool for a Circulatory System Model Based on Interpretive Structural Modeling

Abstract

The purpose of this study is to develop a diagnosis and simulation tool for a circulatory system model. We use Coleman's dynamic model called Human, which consists of 25 physiological modules including equations of about 1000 lines, over 200 variables, and over 100 static parameters. In this paper, we present a diagnostic support method by obtaining structure of equations, variables, and parameters. The proposed method 1) generates cause and effect relations between variables, 2) visualizes hierarchical directed graph of variables, and 3) enables to track paths in the hierarchy of the circulatory model.