Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
553368 | Decision Support Systems | 2006 | 18 Pages |
Abstract
This paper describes a novel approach to medical diagnosis based on the SP theory of computing and cognition. The main attractions of this approach are: a format for representing diseases that is simple and intuitive; an ability to cope with errors and uncertainties in diagnostic information; the simplicity of storing statistical information as frequencies of occurrence of diseases; a method for evaluating alternative diagnostic hypotheses that yields true probabilities; and a framework that should facilitate unsupervised learning of medical knowledge and the integration of medical diagnosis with other AI applications.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Information Systems
Authors
J. Gerard Wolff,