A Production Rule System For Neurological Localization

A rule-based program for localization of damage to the central nervous system was developed to evaluate MYCIN-like production system methodology. The program uses the results of the neurological examination of unconscious patients to categorize them in a manner familiar to clinicians. A collection of rules was found to be a poor representation for neurological localization knowledge because such information is conceptually organized in a frame-like fashion and is very context-dependent. Rule understandability was improved through the use of "macropredicates" and by the development of a natural inference hierarchy. The role of production systems as a model of human cognition is discussed.

[1]  Edward H. Shortliffe,et al.  Computer-based medical consultations, MYCIN , 1976 .

[2]  Nils J. Nilsson,et al.  Problem-solving methods in artificial intelligence , 1971, McGraw-Hill computer science series.

[3]  S. Weiss,et al.  Glaucoma consultation by computer. , 1978, Computers in biology and medicine.

[4]  Frederick Hayes-Roth,et al.  AN OVERVIEW OF PATTERN-DIRECTED INFERENCE SYSTEMS , 1978 .

[5]  Patrick Henry Winston,et al.  The psychology of computer vision , 1976, Pattern Recognit..

[6]  Douglas B. Lenat,et al.  PRINCIPLES OF PATTERN-DIRECTED INFERENCE SYSTEMS , 1978 .

[7]  Webb Haymaker,et al.  Bing's Local Diagnosis in Neurological Diseases , 1970 .

[8]  A. J. Stewart,et al.  Mathematical method to utilize a computer for diagnosis of site and type of intracerebral mass lesions. , 1975, The British journal of radiology.

[9]  Allen Newell,et al.  Human Problem Solving. , 1973 .

[10]  Marvin Minsky,et al.  A framework for representing knowledge , 1974 .

[11]  David Robbins Barstow,et al.  Automatic construction of algorithms and data structures using a knowledge base of programming rules , 1977 .

[12]  David R. Barstow A Knowledge-Based System for Automatic Program Construction , 1977, IJCAI.

[13]  A. U. Meyer,et al.  Localization of Lesions in the Human Nervous System by Computer Analysis , 1973 .

[14]  C. Randt,et al.  Diagnosis of Stupor and Coma. , 1967 .

[15]  Bruce H. McCormick,et al.  A system for priming a clinical knowledge base , 1899, AFIPS '77.

[16]  August Hoch,et al.  Diagnosis of stupor. , 1921 .

[17]  A. U. Meyer,et al.  Computer analysis of the clinical neurological examination. , 1973, Computers in biology and medicine.

[18]  Marvin Minsky,et al.  A framework for representing knowledge" in the psychology of computer vision , 1975 .

[19]  Mark Stefik,et al.  Knowledge Base Management for Experiment Planning in Molecular Genetics , 1977, IJCAI.

[20]  Edward H. Shortliffe,et al.  A model of inexact reasoning in medicine , 1990 .

[21]  Edward A. Feigenbaum,et al.  Rule-based understanding of signals , 1977, SGAR.

[22]  Edward H. Shortliffe,et al.  Production Rules as a Representation for a Knowledge-Based Consultation Program , 1977, Artif. Intell..

[23]  Randall Davis,et al.  An overview of production systems , 1975 .