A theoretical comparison of disco and CADIAG-II-like systems for medical diagnoses
Tatiana Kiseliova
Abstract
Open-access reader
Tatiana Kiseliova
Abstract
Open-access reader
summary:In this paper a fuzzy relation-based framework is shown to be suitable to describe not only knowledge-based medical systems, explicitly using fuzzy approaches, but other ways of knowledge representation and processing. A particular example, the practically tested medical expert system Disco, is investigated from this point of view. The system is described in the fuzzy relation-based framework and compared with CADIAG-II-like systems that are a “pattern” for computer-assisted diagnosis systems based on a fuzzy technology. Similarities and discrepancies in – representation of knowledge, patient’s information, inference mechanism and interpretation of results (diagnoses) – of the systems are established. This work can be considered as another step towards a general framework for computer-assisted medical diagnosis.
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summary:In this paper a fuzzy relation-based framework is shown to be suitable to describe not only knowledge-based medical systems, explicitly using fuzzy approaches, but other ways of knowledge representation and processing. A particular example, the practically tested medical expert system Disco, is investigated from this point of view. The system is described in the fuzzy relation-based framework and compared with CADIAG-II-like systems that are a “pattern” for computer-assisted diagnosis systems based on a fuzzy technology. Similarities and discrepancies in – representation of knowledge, patient’s information, inference mechanism and interpretation of results (diagnoses) – of the systems are established. This work can be considered as another step towards a general framework for computer-assisted medical diagnosis.
Key concepts: Medical diagnosis, Computer science, Relation (database), Representation (politics), Expert system, Knowledge representation and reasoning, Fuzzy logic, Medical knowledge