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Diagnostic and prognostic decision support systems

P H Bartels1, D Thompson, J E Weber

  • 1Dept. of Statistics, U. of Arizona, Tucson, USA.

Pathologica
|June 1, 1995
PubMed
Summary

Diagnostic decision support systems quantitatively evaluate evidence for diagnostic recommendations. These systems, including expert systems and inference networks, process symbolic information for improved diagnostic certainty.

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Area of Science:

  • Medical Informatics
  • Artificial Intelligence in Medicine
  • Clinical Decision Making

Background:

  • Diagnostic decision support systems (DDSS) offer quantitative evaluation of diagnostic evidence.
  • They integrate evidence to produce a numerical measure of certainty for diagnostic recommendations.
  • Various DDSS types exist, including expert systems, inference networks, and case-based reasoning systems.

Purpose of the Study:

  • To describe the general functionalities and methodologies of diagnostic decision support systems.
  • To highlight the quantitative evaluation and integration of diagnostic evidence within these systems.
  • To differentiate the specific applications of expert systems, inference networks, and case-based reasoning systems.

Main Methods:

  • Review and synthesis of the core principles of diagnostic decision support systems.
  • Categorization of systems based on their approach: expert systems, inference networks, case-based reasoning.
  • Emphasis on the processing and quantitative evaluation of symbolic diagnostic information.

Main Results:

  • DDSS provide a structured approach to diagnostic decision-making.
  • Expert systems establish diagnostic decisions.
  • Inference networks analyze the diagnostic value of clues, while case-based systems offer prognostic assessments.

Conclusions:

  • Diagnostic decision support systems enhance diagnostic certainty through quantitative evidence evaluation.
  • Different system types offer distinct advantages for clinical decision support.
  • The processing of symbolic information is central to the function of these systems.

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