Knowledge-based system to classify and diagnose HIV-pneumonias

M. Fiore, F. Sicurello, M. Vigano, R. Pizzi, S. Bandini

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

The paper describes an intelligent system for the automated diagnosis of HIV-pneumonias. The particular object-oriented approach adopted to set out the knowledge base allows to make use of the features of reusability and inheritance of objects, ensuring an easy and dynamical development of the knowledge base. Classes and objects are implemented by means of frames, but another less specialized knowledge is codified by means of production rules. The system is able to identify diagnosis hypotheses and to suggest the suitable therapy. Due to the possibility of displaying the inferential chains followed by the system, its didactical aspect is stressed.

Original languageEnglish
Title of host publicationArtificial Intelligence in Medicine
EditorsS. Andreassen, R. Engelbrecht, J. Wyatt
PublisherPubl by Elsevier Science Publishers B.V.
Pages185-190
Number of pages6
Volume10
ISBN (Print)905199141X
Publication statusPublished - 1993
EventProceedings of the 4th Conference on Artificial Intelligence in Medicine Europe - Munich, Ger
Duration: Oct 3 1993Oct 6 1993

Other

OtherProceedings of the 4th Conference on Artificial Intelligence in Medicine Europe
CityMunich, Ger
Period10/3/9310/6/93

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ASJC Scopus subject areas

  • Artificial Intelligence
  • Medicine(all)

Cite this

Fiore, M., Sicurello, F., Vigano, M., Pizzi, R., & Bandini, S. (1993). Knowledge-based system to classify and diagnose HIV-pneumonias. In S. Andreassen, R. Engelbrecht, & J. Wyatt (Eds.), Artificial Intelligence in Medicine (Vol. 10, pp. 185-190). Publ by Elsevier Science Publishers B.V..