Medical diagnosis as pattern recognition in a framework
of information compression by multiple alignment, unification and search
Decision Support Systems 42, 608-625, 2006. PDF.
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.