Literature DB >> 18694168

Semantic query generation from eligibility criteria in clinical trials.

Chintan O Patel1, James J Cimino.   

Abstract

Towards the goal of automated eligibility determination for clinical trials from electronic health records, we propose a method to formulate Semantic Web based queries using the free-text eligibility criteria on clinicaltrials.gov.

Mesh：

Year:  2007        PMID： 18694168

Source DB:  PubMed          Journal:  AMIA Annu Symp Proc        ISSN： 1559-4076


  5 in total

Review 1.  Formal representation of eligibility criteria: a literature review.

Authors:  Chunhua Weng; Samson W Tu; Ida Sim; Rachel Richesson
Journal:  J Biomed Inform       Date:  2009-12-23       Impact factor: 6.317

2.  Computable Eligibility Criteria through Ontology-driven Data Access: A Case Study of Hepatitis C Virus Trials.

Authors:  Hansi Zhang; Zhe He; Xing He; Yi Guo; David R Nelson; François Modave; Yonghui Wu; William Hogan; Mattia Prosperi; Jiang Bian
Journal:  AMIA Annu Symp Proc       Date:  2018-12-05

3.  Computational challenges and human factors influencing the design and use of clinical research participant eligibility pre-screening tools.

Authors:  Taylor R Pressler; Po-Yin Yen; Jing Ding; Jianhua Liu; Peter J Embi; Philip R O Payne
Journal:  BMC Med Inform Decis Mak       Date:  2012-05-30       Impact factor: 2.796

4.  A method for discovering and inferring appropriate eligibility criteria in clinical trial protocols without labeled data.

Authors:  Angelo Restificar; Ioannis Korkontzelos; Sophia Ananiadou
Journal:  BMC Med Inform Decis Mak       Date:  2013-04-05       Impact factor: 2.796

5.  Computer-Aided Clinical Trial Recruitment Based on Domain-Specific Language Translation: A Case Study of Retinopathy of Prematurity.

Authors:  Yinsheng Zhang; Guoming Zhang; Qian Shang
Journal:  J Healthc Eng       Date:  2017-04-05       Impact factor: 2.682
  5 in total

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