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Validating the knowledge base of a therapy planning system.

M A Shwe, S W Tu, L M Fagan

    Methods of Information in Medicine
    |January 1, 1989
    PubMed
    Summary
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    This study introduces ScriptGen, an automated system for validating expert system knowledge bases. ScriptGen generates test data to ensure the accuracy of complex systems like the ONCOCIN cancer therapy planner.

    Area of Science:

    • Artificial Intelligence
    • Medical Informatics
    • Software Engineering

    Background:

    • Validating expert system knowledge bases is challenging due to their complexity.
    • Automated tools are necessary for efficient validation of large-scale systems.

    Purpose of the Study:

    • To describe ScriptGen, a novel system for generating test data.
    • To validate the knowledge base of the ONCOCIN cancer therapy planning system.

    Main Methods:

    • ScriptGen employs techniques from traditional software and expert system testing.
    • It utilizes a parallel model of the ONCOCIN knowledge base and its own inference engine.
    • Error seeding in an existing knowledge base informed system development.

    Main Results:

    Related Experiment Videos

    • ScriptGen successfully generates test data for expert system validation.
    • The system's performance limits were established through empirical testing.

    Conclusions:

    • Automated validation using tools like ScriptGen is feasible and effective.
    • This approach enhances the reliability of complex medical expert systems.