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Applying expert system techniques to human genetics.

H U Prokosch1, S A Seuchter, E A Thompson

  • 1Department of Medical Informatics, University of Utah, Salt Lake City 84132.

Computers and Biomedical Research, an International Journal
|June 1, 1989
PubMed
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This study explores expert systems for human genetics, developing new knowledge representations and inference methods. The research introduces object-oriented and fact-based models for genetic data analysis.

Area of Science:

  • Medical Informatics
  • Human Genetics

Background:

  • Expert systems are widely used in medicine, but underutilized in human genetics.
  • Limited application of artificial intelligence in genetic data analysis.

Purpose of the Study:

  • To experiment with knowledge representation for human genetics data.
  • To explore inference mechanisms for genetic problem-solving.
  • To develop prototype expert systems for human genetics.

Main Methods:

  • Object-oriented model for genealogical data.
  • Fact-based model for genealogical data.
  • Development of two prototype expert systems.

Main Results:

  • Demonstrated feasibility of expert systems in human genetics.

Related Experiment Videos

  • Presented novel data and knowledge structures for genetic information.
  • Evaluated different inference mechanisms for genetic applications.

    • Conclusions:

    • Expert systems offer a promising approach for human genetics research.
    • The developed models and systems can aid in genetic data analysis and problem-solving.