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FUZZY RULE-BASED CL...
FUZZY RULE-BASED CLASSIFICATION TO BUILD INITIAL CASE LIBRARY FOR CASE-BASED STRESS DIAGNOSIS
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- Ahmed, Mobyen Uddin, 1976- (författare)
- Mälardalens högskola,Akademin för innovation, design och teknik,Intelligent Systems
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- Begum, Shahina, 1977- (författare)
- Mälardalens högskola,Akademin för innovation, design och teknik,Intelligent Systems
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- Funk, Peter (författare)
- Mälardalens högskola,Akademin för innovation, design och teknik,Intelligent Systems
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visa fler...
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- Xiong, Ning (författare)
- Mälardalens högskola,Akademin för innovation, design och teknik,Intelligent Systems
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visa färre...
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(creator_code:org_t)
- 2009
- 2009
- Engelska.
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Ingår i: Proceedings of the IASTED International Conference on Artificial Intelligence and Applications, AIA 2009. - 9780889867802 ; , s. 225-230
- Relaterad länk:
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https://urn.kb.se/re...
Abstract
Ämnesord
Stäng
- Case-Based Reasoning (CBR) is receiving increasedinterest for applications in medical decision support.Clinicians appreciate the fact that the system reasons withfull medical cases, symptoms, diagnosis, actions takenand outcomes. Also for experts it is often appreciated toget a second opinion. In the initial phase of a CBR systemthere are often a limited number of cases available whichreduces the performance of the system. If past cases aremissing or very sparse in some areas the accuracy isreduced. This paper presents a fuzzy rule-basedclassification scheme which is introduced into the CBRsystem to initiate the case library, providing improvedperformance in the stress diagnosis task. Theexperimental results showed that the CBR system usingthe enhanced case library can correctly classify 83% ofthe cases, whereas previously the correctness of theclassification was 61%. Consequently the proposedsystem has an improved performance with 22% in termsof accuracy. In terms of the discrepancy in classificationcompared to the expert, the goodness-of-fit value of thetest results is on average 87%. Thus by employing thefuzzy rule-based classification, the new hybrid system cangenerate artificial cases to enhance the case library.Furthermore, it can classify new problem cases previouslynot classified by the system.
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences (hsv//eng)
Nyckelord
- Case-based reasoning
- fuzzy rule-based reasoning
- stress
- Computer Science
- datavetenskap
Publikations- och innehållstyp
- ref (ämneskategori)
- kon (ämneskategori)
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