Title :
Answer Justification in Diagnostic Expert Systems - Part II: Supporting Plausible Justifications
Author :
Reggia, James A. ; Perricone, Barry T. ; Nau, Dana S. ; Peng, Yun
Author_Institution :
Department of Neurology, University of Maryland Hospital, Baltimore, MD 21201, and the Department of Computer Science, University of Maryland
fDate :
4/1/1985 12:00:00 AM
Abstract :
This paper describes how a new method for answer justification in abductive diagnostic expert systems, presented in a preceding companion paper (Part I), can be supported in a domain-independent fashion. Both the issues of explaining why a disorder is included in a differential diagnosis and why it is ranked the way it is relative to its "competitors" are addressed. This approach to answer justification is then compared to previous work on answer justification in medical expert systems.
Keywords :
Computer science; Diagnostic expert systems; Helium; Hospitals; Medical expert systems; Nervous system; Problem-solving; Region 2; Software architecture; Diagnosis, Computer-Assisted;
Journal_Title :
Biomedical Engineering, IEEE Transactions on
DOI :
10.1109/TBME.1985.325447
