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A simulation support system for solving large physiological models on microcomputers.

J P Montani1, T H Adair, R L Summers

  • 1Department of Physiology and Biophysics, University of Mississippi Medical Center, Jackson 39216-4505.

International Journal of Bio-Medical Computing
|March 1, 1989
PubMed
Summary
This summary is machine-generated.

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MODSIM is a FORTRAN-based simulation support system that simplifies the development of complex physiological models. This tool facilitates dynamic interaction and analysis, making scientific research more accessible.

Area of Science:

  • Computational Biology
  • Physiological Modeling

Background:

  • Developing new physiological models can be complex due to intricate data input/output routines.
  • Computer simulations are valuable for testing scientific theories and designing experiments.

Purpose of the Study:

  • To develop a simulation support system, MODSIM, to simplify the creation and use of dynamic physiological models.
  • To provide researchers with an efficient tool for model development and interactive analysis.

Main Methods:

  • MODSIM is a FORTRAN-based system for IBM PC, supporting large dynamic models (thousands of equations).
  • It offers utilities for on-line graphical/tabular output and dynamic model interaction.
  • Users provide model equations in FORTRAN and initial values; the system handles precompilation, compilation, and linking.

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Main Results:

  • MODSIM allows users to solve models, select variables for graphical output, and interactively modify parameters during simulation.
  • The system significantly reduces programming effort for model development and analysis.
  • Facilitates active integration of computational models with experimental research.

Conclusions:

  • MODSIM streamlines the development and utilization of complex dynamic physiological models.
  • The system enhances the accessibility and interactivity of computer simulations in scientific research.
  • MODSIM empowers investigators to easily develop and refine models for experimental analysis.