Inductive Learning of Simple Diagnostic Scores

Knowledge acquisition and maintenance in medical domains with a large application domain ontology is a difficult task. To reduce knowledge elicitation costs, semi-automatic learning methods can be used to support the expert. We propose diagnostic scores as a promising approach and present a method for inductive learning of diagnostic scores. It can be be refined incrementally by applying different types of background knowledge. We give an evaluation of the presented approach with a real-world case base.

• Type: Conference
• Year: 2003
• Where: ISMDA
• Authors: Martin Atzmüller, Joachim Baumeister, Frank Puppe
• Keywords: Diagnostic Scores, ISMDA 2003, Knowledge Elicitation Costs, Semi-automatic Learning Methods