An event set approach to sequence discovery in medical data

被引：0
|
作者：
Ramirez, Jorge C.G. [1 ,2 ]
Cook, Diane J. [1 ]
Peterson, Lynn L. [1 ]
Peterson, Dolores M. [3 ,4 ]
机构：
[1] Department of Computer Science and Engineering, University of Texas at Arlington, PO Box 19015, Arlington, TX 76019, United States
[2] Department of Computer Science and Engineering, University of Texas at Arlington, Arlington, TX 76019-0015, United States
[3] Intelligent Technologies Corporation, 11044 Research Blvd., #A-500, Austin, TX 78759, United States
[4] Department of Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX 75235-9103, United States
来源：
Intelligent Data Analysis | 2000年 / 4卷 / 06期
关键词：
Learning systems - Database systems - Medical problems - Diseases - Viruses - Medical computing;
D O I：
10.3233/ida-2000-4605
中图分类号：
学科分类号：
摘要：
The goal of this research is the discovery of useful concepts in temporal medical databases. Building on previous experiments, we introduce TEMPADIS, the Temporal Pattern Discovery System, which uses an Event Set Sequence approach to discover sequential patterns in medical data. We discuss problems unique to mining medical databases and introduce techniques to overcome some of these problems. Verification results are presented based on a database of Human Immunodeficiency Virus (HIV) patients monitored over four years. © 2000-IOS Press. All rights reserved.
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页码：513 / 530
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