Extending the Query Language of a Data Warehouse for Patient Recruitment

被引：4

作者：

Dietrich, Georg ^{[1
]}

Ertl, Maximilian ^{[3
]}

Fette, Georg ^{[1
,2
]}

Kaspar, Mathias ^{[2
]}

Krebs, Jonathan ^{[1
]}

Mackenrodt, Daniel ^{[4
]}

Stoerk, Stefan ^{[2
]}

Puppe, Frank ^{[1
]}

机构：

[1] Wurzburg Univ, Chair Comp Sci 6, D-97074 Wurzburg, Germany

[2] Univ Hosp Wurzburg, Comprehens Heart Failure Ctr, Wurzburg, Germany

[3] Univ Hosp Wurzburg, Serv Ctr Med Informat, Wurzburg, Germany

[4] Wurzburg Univ, Inst Clin Epidemiol, Wurzburg, Germany

来源：

GERMAN MEDICAL DATA SCIENCES: VISIONS AND BRIDGES | 2017年 / 243卷

关键词：

Information Extraction; Data Warehouse; clinical trials; text queries; NEGATION DETECTION; CLINICAL-TRIALS;

D O I：

10.3233/978-1-61499-808-2-152

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Patient recruitment for clinical trials is a laborious task, as many texts have to be screened. Usually, this work is done manually and takes a lot of time. We have developed a system that automates the screening process. Besides standard keyword queries, the query language supports extraction of numbers, time-spans and negations. In a feasibility study for patient recruitment from a stroke unit with 40 patients, we achieved encouraging extraction rates above 95% for numbers and negations and ca. 86% for time spans.

引用

页码：152 / 156

页数：5

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