Inductive Learning of Simple Diagnostic Scores Martin Atzmueller, Joachim Baumeister, Frank Puppe

Abstract. 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.

Keywords. inductive learning, diagnostic scores, semi-automatic learning methods

BiBTeX:

@INPROCEEDINGS{ABP:03,
   author = {Martin Atzmueller, Joachim Baumeister, Frank Puppe},
   title = {{Inductive Learning of Simple Diagnostic Scores}},
   booktitle = {Medical Data Analysis, Proceedings of the International Symposium of Medical Data Analysis (ISMDA)},
   pages = {23-30},
   number = {2868},
   series = {LNCS},
   publisher = {Springer Verlag},
   year = {2003}
}