BIB-VERSION:: CS-TR-v2.0
          ID:: STAN//CS-TR-82-931
       ENTRY:: June 01, 1995
ORGANIZATION:: Stanford University, Department of Computer Science
       TITLE:: PUFF: an expert system for interpretation of pulmonary
               function data
        TYPE:: Technical Report
      AUTHOR:: Aikins, Janice S.
      AUTHOR:: Kunz, John C.
      AUTHOR:: Shortliffe, Edward H.
      AUTHOR:: Fallat, Robert J.
        DATE:: September 1982
       PAGES:: 26
    ABSTRACT:: The application of Artificial Intelligence techniques to
               real-world problems has produced promising research results,
               but seldom has a system become a useful tool in its domain of
               expertise. Notable exceptions are the DENDRAL and MOLGEN
               systems. This paper describes PUFF, a program that interprets
               lung function test data and has become a working tool in the
               pulmonary physiology lab of a large hospital. Elements of the
               problem that paved the way for its success are examined, as
               are significant limitations of the solution that warrant
               further study.
       NOTES:: [Adminitrivia V1/Prg/19950601]
         END:: STAN//CS-TR-82-931