Inductive Learning as a Method for Medical Decision Making
A system for inductive learning is used in automatic construction of decision trees. The results and experience in its use in the field of rheumatology are presented. The decision trees have been obtained under different conditions, i. e. without and with pruning. Variability of results has been noted and discussed. It is concluded that such decision trees could be a useful guide in clinical decisions.
KeywordsDecision Tree Rheumatoid Arthritis Patient Prognostic Accuracy Inductive Learning American Rheumatism Association
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