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International Conference on Computer and Computer Intelligence (ICCCI 2011)

Yi Xie
Yi Xie
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ASME Press
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Diagnostics of complex and rare medical cases lacking clear symptoms of particular abnormalities is a very challenging problem. Case based reasoning (CBR) is known to provide helpful and generic guidelines for practitioners as well as for the design of medical expert systems dealing with such non-standard diagnostic problems. Single example learning (SEL) algorithms offer more formal machine learning framework for classification of rare and novel classes. However, both CBR and SEL approaches require significant number of well-studied examples and a set of objective features capable to provide robust matching of novel examples with the previous ones. In practice, data sets...

Key Words
1. Introduction
2. Complex/Rare Case Diagnostics: Challenges and Existing Methods
3. Complex/Rare Case Diagnostics Based on Ensemble Decomposition Learning
4. Application Example
5. Conclusions
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