Discovery of association rules in medical data

被引:56
作者
Doddi, S
Marathe, A
Ravi, SS
Torney, DC
机构
[1] Univ Calif Los Alamos Natl Lab, Los Alamos, NM 87545 USA
[2] SUNY Albany, Dept Comp Sci, Albany, NY 12222 USA
来源
MEDICAL INFORMATICS AND THE INTERNET IN MEDICINE | 2001年 / 26卷 / 01期
关键词
data mining; association rules; procedure code; diagnosis code;
D O I
10.1080/14639230010028786
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Data mining is a technique for discovering useful information from large databases. This technique is currently being profitably used by a number of industries. A common approach for information discovery is to identify association rules which reveal relationships among different items. In this paper, we use this approach to analyse a large database containing medical-record data. Our aim is to obtain association rules indicating relationships between procedures performed on a patient and the reported diagnoses. Random sampling was used to obtain these association rules. After reviewing the basic concepts associated with data mining, we discuss our approach for identifying association rules and report on the rules generated.
引用
收藏
页码:25 / 33
页数:9
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