Supporting Discovery in Medicine by Association Rule Mining of Bibliographic Databases

被引：0

作者：

Hristovski, Dimitar ^{[1
]}

Dzeroski, Saso ^{[2
]}

Peterlin, Borut ^{[3
]}

Rozic-Hristovski, Anamarija ^{[4
]}

机构：

[1] Univ Ljubljana, Fac Med, IBMI, Ljubljana 1105, Slovenia

[2] Jozef Stefan Inst, Ljubljana 1000, Slovenia

[3] Clin Ctr Ljubljana, Dept Human Genet, Ljubljana 1000, Slovenia

[4] Univ Ljubljana, Fac Med, Cent Med Lib, Ljubljana 1105, Slovenia

来源：

LECTURE NOTES IN COMPUTER SCIENCE <D> | 2000年 / 1910卷

关键词：

D O I：

暂无

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

The paper presents an interactive discovery support system for the field of medicine. The intended users of the system are medical researchers. The goal of the system is: for a given starting concept of interest, discover new, potentially meaningful relations with other concepts that have not been published in the medical literature before. We performed two types of preliminary evaluation of the system: 1) by a medical doctor and 2) by automatic means. The preliminary evaluation showed that our approach for supporting discovery in medicine is promising, but also that some further work is needed, especially on limiting the number of potential discoveries the system generates.

引用

页码：446 / 451

页数：6

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