Integrating Two Artificial Intelligence Theories in a Medical Diagnosis Application

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dc.contributor.author Peter, Hadrain
dc.contributor.author Goodridge, Wayne
dc.date.accessioned 2010-11-03T14:27:45Z
dc.date.available 2010-11-03T14:27:45Z
dc.date.issued 2010-11-03T14:27:45Z
dc.identifier.uri http://hdl.handle.net/2139/8495
dc.description.abstract Reasoning Systems (Inference Mechanisms) and Neural Networks are two major areas of Artificial Intelligence(AI). The use of case-based reasoning in Artificial Intelligence systems is well known. Similarly, the AI literature is replete with papers on neural networks. However, there is relatively little research in which the theories of case-based reasoning and neural networks are combined.In this paper we integrate the two theories and show how the resulting model is used in a medical diagnosis application.An implementation of our model provides a valuable prototype for medical experts and medical students alike. en
dc.language.iso en en
dc.subject Reasoning system en
dc.subject Case-based reasoning en
dc.subject Neural networks en
dc.subject Medical diagnosis en
dc.title Integrating Two Artificial Intelligence Theories in a Medical Diagnosis Application en
dc.type Book chapter en


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