Advertisement

A Computational Model of Reasoning from the Clinical Literature

  • Glenn D. Rennels

Part of the Lecture Notes in Medical Informatics book series (LNMED, volume 32)

Table of contents

  1. Front Matter
    Pages N2-XV
  2. Glenn D. Rennels
    Pages 1-12
  3. Glenn D. Rennels
    Pages 13-36
  4. Glenn D. Rennels
    Pages 55-77
  5. Glenn D. Rennels
    Pages 79-102
  6. Glenn D. Rennels
    Pages 103-117
  7. Glenn D. Rennels
    Pages 119-137
  8. Glenn D. Rennels
    Pages 139-165
  9. Glenn D. Rennels
    Pages 167-172
  10. Back Matter
    Pages 173-231

About this book

Introduction

As research on expert systems has moved well into its second decade, it has become popular to cite the limitations of the phenomenologic or associational approach to knowledge representation that was typical of first generation systems. For example, the Internist-1 knowledge base represents explicitly over 600 diseases, encoding associated disease manifestations (signs, symptoms, physical findings, and lab abnormalities) but failing to deal with the reasons that those findings may be present in the disease [Miller, R. A. 82]. In recent years Pople has sought to add detailed causal models to the knowledge base in a revised version of the program known as CADUCEUS [Pople 82]. Similarly, a typical production rule in the MYCIN system states inferences that may be drawn when specific conditions are found to be true [Buchanan 84], but the underlying explanations for such relationships are not encoded. Clancey has argued that MYCIN needs such "supporting knowledge" represented, especially if its knowledge base is to be used for teaching purposes [Clancey 83]. By the late 1970s, artificial intelligence researchers were beginning to experiment with reasoning systems that used detailed mechanistic or causal niodels of the object being analyzed. Among the best early examples were a program to teach students how to analyze electronic circuits [Brown 82] and a system for diagnosing problems with mechanical devices [Rieger 76].

Keywords

Mycin Radiologieinformationssystem artificial intelligence computerassistierte Detektion evaluation expert system statistics

Authors and affiliations

  • Glenn D. Rennels
    • 1
  1. 1.Medical Information Sciences ProgramStanford UniversityStanfordUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-93363-9
  • Copyright Information Springer-Verlag Berlin Heidelberg 1987
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-17949-8
  • Online ISBN 978-3-642-93363-9
  • Series Print ISSN 0172-7788
  • Buy this book on publisher's site
Industry Sectors
Pharma
Health & Hospitals
Biotechnology
Consumer Packaged Goods