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Diagnosis of nephropathia epidemica by adaptation through Lukasiewicz inference
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- Eklund, Patrik, 1958- (author)
- Department of Computer Science, Åbo Akademi, Åbo, Finland
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- Forsström, Jari (author)
- University of Turku, Department of Clinical Chemistry, Central Laboratory, Turku University Central Hospital, SF-20520 Turku, Finland
- (creator_code:org_t)
- Amsterdam, The Netherlands : Elsevier, 1990
- 1990
- English.
- In: Computational Intelligence, III. - Amsterdam, The Netherlands : Elsevier. - 0444891188 ; , s. 237-246
- Book chapter (peer-reviewed)
Abstract
Subject headings
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- This paper describes a method how to arrive at a medical expert system (as a knowledge based system) to support physicians in classifying patients in diagnosis of Nephropathia epidemica (NE). We thereby present a link between Lukasiewicz inference and learning in neural nets, as a formal connection between uncertainty in logical implication and synaptic weights. The system presented uses clinical findings and laboratory investigations to arrive at predictions whether or not patients suffer from NE. Although we are willing to call our system a medical expert system, it could equally well be called a decision support system, this being more in spirit to what such a system really offers a physician.
Subject headings
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Sciences (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Kemiteknik -- Annan kemiteknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Chemical Engineering -- Other Chemical Engineering (hsv//eng)
Keyword
- Haemorrhagic fever
- neural nets
- Lukasiewicz inference
- incremental evidence
Publication and Content Type
- ref (subject category)
- kap (subject category)
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