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Extending the Query Language of a Data Warehouse for Patient Recruitment
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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.
Title: Extending the Query Language of a Data Warehouse for Patient Recruitment
Description:
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.
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