Literature DB >> 28883190

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

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


  3 in total

1.  Ad Hoc Information Extraction for Clinical Data Warehouses.

Authors:  Georg Dietrich; Jonathan Krebs; Georg Fette; Maximilian Ertl; Mathias Kaspar; Stefan Störk; Frank Puppe
Journal:  Methods Inf Med       Date:  2018-05-25       Impact factor: 2.176

2.  Underestimated prevalence of heart failure in hospital inpatients: a comparison of ICD codes and discharge letter information.

Authors:  Mathias Kaspar; Georg Fette; Gülmisal Güder; Lea Seidlmayer; Maximilian Ertl; Georg Dietrich; Helmut Greger; Frank Puppe; Stefan Störk
Journal:  Clin Res Cardiol       Date:  2018-04-17       Impact factor: 5.460

3.  Unlocking the PACS DICOM Domain for its Use in Clinical Research Data Warehouses.

Authors:  Mathias Kaspar; Leon Liman; Maximilian Ertl; Georg Fette; Lea Katharina Seidlmayer; Laura Schreiber; Frank Puppe; Stefan Störk
Journal:  J Digit Imaging       Date:  2020-08       Impact factor: 4.056

  3 in total

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