ERUDIT-Workshop
Fuzzy Diagnostic and Therapeutic Decision Support
1112 May 2000, Vienna, Austria
1Department of Psychology
University of Zurich, Zürichbergstraße 43, Zurich, Switzerland
e-mail: thomas.rothenfluh@access.unizh.ch
2Department of Medical Computer Sciences, Section on Medical Expert and Knowledge-Based Systems
University of Vienna Medical School, Spitalgasse 23, A-1090 Vienna, Austria
e-mail: karl.boegl@akh-wien.ac.at
Abstract. We describe the knowledge acquisition process that is used in MedFrame/CADIAG-IV, a medical computer consultation system. Fuzzy medical knowledge is used to model the vagueness and the uncertainty of medical concepts and fuzzy logic reasoning mechanisms provide the basic inference engines. Knowledge acquisition procedures and computer tools have been implemented in order to make the tasks of (a) defining medical concepts, (b) providing appropriate interpretations for patient data, and (c) constructing inferential knowledge easier and more accessible. This paper explains how the knowledge acquisition tasks are supported both by special representations and by a stepwise knowledge acquisition process.
(In: Adlassnig, K.-P. (ed.) Fuzzy Diagnostic and Therapeutic Decision Support. Proc. of the ERUDIT Workshop, Österreichische Computer Gesellschaft, Vienna, p.156.)