Author/Editor		Gamberger, Dragan; Lavrač, Nada; Grošelj, Ciril
Title		Uporaba izločitvenih pravil za zanesljivo diagnostiko
Translated title		Exploiting exclusion rules for reliable diagnosis
Type		članek
Source		Inform Med Slov Print Ed
Vol. and No.		Letnik 5, št. 1-2
Publication year		1998
Volume		str. 23-9
Language		slo
Abstract		Medicine and other critical applications require the use of reliable diagnostic rules, since a single wrong prediction may be very dangerous or costly. The problem of the induction of reliable rules is hard because theoretically no induction process by itself can guarantee the correctness of induced hypotheses. Additionally, in practice the problem is even harder due to the presence of noise in training instances and due to training instances that may not be representative for all the domain space. This paper presents a method that allows for the construction of reliable hypotheses from the available data. The induced hypotheses in the form of exclusion rules enable trustworthy predictions and provide the information about the prediction confidence level.
Descriptors		DIAGNOSIS, COMPUTER-ASSISTED CORONARY DISEASE DECISION MAKING, COMPUTER-ASSISTED