Detection of Risk Factors as Temporal Data Mining

被引：0
|
作者：
Hirano, Shoji [1 ]
Tsumoto, Shusaku [1 ]
机构：
[1] Shimane Univ, Sch Med, Dept Med Informat, Izumo, Shimane 6938501, Japan
来源：
NEW FRONTIERS IN APPLIED DATA MINING | 2009年 / 5433卷
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Hosptial information system (HIS) collects all the data from all the branches of departments in a hospital, including, laboratory tests,physiological tests, electronic patient records. Thus, HIS can be viewed as a large heterogenous database, which stores chronological changes in patients' status. In this paper, we applied trajectory mining method to the data extracted from HIS. E x peri results demonstrated that the method could find the groups of trajectories which reflects temporal covariance of laboratory examinations.
引用
收藏
页码：143 / 156
页数：14
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