The Case-Based Neural Network Model and Its Use in Medical Expert Systems
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.
KeywordsExpert System Aplastic Anemia Medical Expert Unknown Node Queen Elizabeth Hospital
Unable to display preview. Download preview PDF.
- 1.Aamodit, A., Plaza, P.: Case-Based Reasoning: Foundations Issues, Methodological Variations, and Systems Approaches. AI Communications 7(1) (1994) 39–59Google Scholar
- 2.Bergmann, R., Wilke, W.: Building and refining abstract planning cases by change of representation language. Journal of Artificial Intelligence Research, 3 (1995) 53–118Google Scholar
- 3.Durkin, J.: Expert Systems, Design and Development. Prentice Hall International Editions (1994)Google Scholar
- 4.Fauseet, L.: Fundamentals of Neural Networks. Architectures, algorithms, and applications. Prentice Hall International Editions (1994)Google Scholar
- 5.Gallant, S, I.: Neural Network Learning and Expert systems. Massachusetts Institute of Technology (1993)Google Scholar
- 6.Lenz, M., et al (eds.): Case-Based Reasoning Technology: from foundations to applications. Lecture notes in Computer science vol. 1400. Springer-Verlag, Berlin Heidelberg New York (1998)Google Scholar
- 7.Lucus, P.: A Theory of Medical Diagnosis as Hypothesis Refinement. 6th Conference on Artificial Intelligence. Springer-Verlag, Berlin Heidelberg New York (1997) 169–180Google Scholar