Analysis of information in indicant-patterns.
Different patterns of information may lead to identical diagnostic conclusions, but it remains uncertain whether such patterns will have the same validity towards other criteria, e.g. choice of treatment. A procedure for selection of optimal patterns of data and analysis of their validity towards different criteria is described. It is founded on Bayes' methodology and characterized by a continuous correction for redundancy between indicants. Permissible patterns/syndromes are formulated and evaluated in a consistent way.
D003936:Diagnosis, Computer-Assisted; D003937:Diagnosis, Differential; D005260:Female; D006801:Humans; D008297:Male; D001523:Mental Disorders / Q000175:diagnosis* / Q000523:psychology; D008875:Middle Aged; D008960:Models, Psychological; D019964:Mood Disorders / Q000175:diagnosis; D011336:Probability