Neural network learning and expert systems
Neural network learning and expert systems
Fundamentals of neural networks: architectures, algorithms, and applications
Fundamentals of neural networks: architectures, algorithms, and applications
Expert Systems: Design and Development
Expert Systems: Design and Development
Case-Based Reasoning Technology, From Foundations to Applications
Case-Based Reasoning Technology, From Foundations to Applications
A Theory of Medical Diagnosis as Hypothesis Refinement
AIME '97 Proceedings of the 6th Conference on Artificial Intelligence in Medicine in Europe
Building and refining abstract planning cases by change of representation language
Journal of Artificial Intelligence Research
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A theoretical model called the Case-Based Neural Network Model is introduced that captures selected patient cases into a data structure which incorporates the fundamental components of expert systems. This data structure is made up of a discrete pattern associative neural network of frames. The Case-Based Neural Network Model is implemented as a computer system called MED2000. This system generates appropriate questions and suggestions based on a notion of diagnosis developed by its neural network and knowledge base. When tested by medical experts, the system was found to be accurate and reproducible.