| Literature DB >> 28883190 |
Georg Dietrich1, Maximilian Ertl2, Georg Fette1, Mathias Kaspar3, Jonathan Krebs1, Daniel Mackenrodt4, Stefan Störk3, Frank Puppe1.
Abstract
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.Entities:
Keywords: Data Warehouse; Information Extraction; clinical trials; text queries
Mesh:
Year: 2017 PMID: 28883190
Source DB: PubMed Journal: Stud Health Technol Inform ISSN: 0926-9630