Skip to main content

Reflections on building medical decision support systems and corresponding implementation in diagnostics shell D3

  • Conference paper
  • First Online:
  • 171 Accesses

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 934))

Abstract

We take a closer look at the medical environment in which decision support systems will have to operate and which ultimately determine their success of failure. Based on the experience accumulated in ten years of active involvement into research revolving around the construction of expert systems, we put forward for discussion a couple of judgements including representation of symptomatic detail, temporal reasoning, case data validation, rule syntax, intermediate conclusions, modularity, test indication/sequence and domain choice. For each of the items touched we describe how our preferences and conclusions have been implemented in the diagnostics shell D3 and thereupon-based diagnostic systems.

This is a preview of subscription content, log in via an institution.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Why Doctors? The Economist, December 10, p.93–94, 1994

    Google Scholar 

  2. Shortliffe EH: The adolescence of AI in medicine: Will the field come of age in the '90s? Artificial Intelligence in Medicine 5:93–106, 1993

    PubMed  Google Scholar 

  3. Puppe F, Poeck K, Gappa & others: Reusable Components for a configurable diagnostics shell (in German); Künstliche Intelligenz 2:13–18, 1994

    Google Scholar 

  4. Puppe B: Building a medical knowledge base: Tricks facilitating the simulation of the expert's reasoning. AIME '93: 5th Conference on Artifical Intelligence in Medicine Europe, Proceedings

    Google Scholar 

  5. Gappa U, Puppe F, Schewe S: Graphical knowledge acquisition for medical diagnostic expert systems. Artificial Intelligence in Medicine 5:185–211, 1993

    PubMed  Google Scholar 

  6. Miller RA, Pople HE, Myers JD: INTERNIST1: an Experimental Computer Based Diagnostic Consultant for General Internal Medicine; N Engl J Med 307:468–476, 1982

    PubMed  Google Scholar 

  7. Kassirer U, Gorry A: Clinical problem solving: a behavioral analysis; Annals of Int. Me. 89:245–255, 1978

    Google Scholar 

  8. Puppe B, Puppe F: Standardized forward and hypothetico-deductive reasoning in medical diagnosis; Proc. of MEDINFO-86, p 199–201, 1986

    Google Scholar 

  9. Aikins JS, Kunz JC, Shortliffe EH, Fallat RJ: PUFF: An exert system for interpretation of pulmonary function data. Computers in Biomedical Research, 16: 199–208; 1983

    Article  Google Scholar 

  10. Berner E, Webster G, Shugerman A: Performance of four computer-based diagnostic systems; N Engl J Med 330:1792–6), 1994

    PubMed  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Pedro Barahona Mario Stefanelli Jeremy Wyatt

Rights and permissions

Reprints and permissions

Copyright information

© 1995 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Puppe, B. (1995). Reflections on building medical decision support systems and corresponding implementation in diagnostics shell D3. In: Barahona, P., Stefanelli, M., Wyatt, J. (eds) Artificial Intelligence in Medicine. AIME 1995. Lecture Notes in Computer Science, vol 934. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-60025-6_145

Download citation

  • DOI: https://doi.org/10.1007/3-540-60025-6_145

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-60025-1

  • Online ISBN: 978-3-540-49407-2

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics