期刊名称：Studia Universitatis Babes-Bolyai : Series Informatica
印刷版ISSN：1224-869X
出版年度：2006
卷号：LI
期号：01
页码：21-21
出版社：Babes-Bolyai University, Cluj-Napoca
摘要：The aim of this paper is to present a programming interface
that can be used for assisting physicians in medical diagnosis. The interface
provides an original diagnosis technique based on relational association rules
and a supervised learning method. Using the designed interface, we made an
experiment for cancer diagnosis; the precision of the diagnosis on our testing
data was 90%. The main advantage of the proposed interface is that can be
use in diagnosis for every disease, and, much more, can be simply extended,
by adding new symptom types and new relations between symptoms for the
given disease.
关键词：Relational association rules, Programming, Interface, Super-
vised Learning.
