AIME 87 pp 229-236 | Cite as

Evaluating the Performance of Anemia

  • S. Quaglini
  • M. Stefanelli
  • G. Barosi
  • A. Berzuini
Conference paper
Part of the Lecture Notes in Medical Informatics book series (LNMED, volume 33)


This paper reports the results of an evaluation study of the current level of performance given by ANEMIA [3], a knowledge-based consultation system addressing the clinical problem of managing anemic patients. ANEMIA has been built using an AI programming scheme, called EXPERT, which was developed at Rutgers University [6]. At present the system is able to provide assistance in the diagnosis and management of 65 disease entities. They include iron deficiency anemias, anemias due to chronic disorders, thalassemias, hemolytic anemias, arigenerative anemias and few other miscellaneous conditions.


Diagnostic Performance Hemolytic Anemia Anemic Patient Autoimmune Hemolytic Anemia Single Diagnosis 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 1987

Authors and Affiliations

  • S. Quaglini
    • 1
  • M. Stefanelli
    • 1
  • G. Barosi
    • 2
  • A. Berzuini
    • 3
  1. 1.Dept. of Informatica e SistemisticaUniversity of PaviaItaly
  2. 2.I.R.C.C.S. Policlinico S. MatteoPaviaItaly
  3. 3.Ospedale MaggioreMilanoItaly

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