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Epidemiologic programs for computers and calculators. Decision-tree analysis using a microcomputer.

T E Carpenter

    American Journal of Epidemiology
    |November 1, 1986
    PubMed
    Summary
    This summary is machine-generated.

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    This study introduces a PASCAL program to simplify complex medical decision analysis and sensitivity analysis. The software facilitates deterministic and stochastic simulations for risk analysis, improving decision-making processes.

    Area of Science:

    • Medical Decision Analysis
    • Computational Health Informatics

    Background:

    • Decision trees are valuable tools for simplifying complex medical decision-making.
    • Performing sensitivity analysis with traditional decision tree methods can be cumbersome and inefficient.

    Purpose of the Study:

    • To describe a computer program designed to streamline decision analysis.
    • To enable efficient construction, modification, and simulation (deterministic and stochastic) for risk analysis in hypothetical decision problems.

    Main Methods:

    • Development of a computer program using the PASCAL programming language.
    • Implementation of functionalities for creating, altering, and running simulations on decision-analysis problems.
    • Support for both deterministic and stochastic simulation types.

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    Main Results:

    • The program successfully automates the construction and modification of decision-analysis models.
    • Deterministic and stochastic simulations, along with risk analysis, can be performed efficiently.
    • The deterministic version is compatible with CP/M, PC-DOS, and MS-DOS; the stochastic version requires PC-DOS or MS-DOS.

    Conclusions:

    • The developed PASCAL program significantly enhances the usability of decision analysis, particularly for sensitivity and risk analysis.
    • This computational tool offers a practical solution for medical decision-makers facing complex problems, adaptable to various microcomputer operating systems.