Literature DB >> 15360917

Enhancing access to the Bibliome: the TREC Genomics Track.

William Hersh1, Ravi Teja Bhupatiraju, Sarah Corley.   

Abstract

The growing amount of scientific discovery in genomics and related biomedical disciplines has led to a corresponding increase in the amount of on-line data and information. A new challenge for biomedical researchers has been how to access and manage this ever-increasing quantity of information. The Text Retrieval Conference (TREC) has implemented a Genomics Track to create an experimental environment for research in the use of information retrieval systems in the genomics domain. In the first year of the track, an ad hoc document retrieval task and an information extraction task were carried out by 29 research groups. Future work will focus on more complex data sources, searching tasks, and types of experiments.

Mesh:

Year:  2004        PMID: 15360917

Source DB:  PubMed          Journal:  Stud Health Technol Inform        ISSN: 0926-9630


  9 in total

1.  Qualitative analysis of workflow modifications used to generate the reference standard for the 2010 i2b2/VA challenge.

Authors:  Brett R South; Shuying Shen; Robyn Barrus; Scott L DuVall; Ozlem Uzuner; Charlene Weir
Journal:  AMIA Annu Symp Proc       Date:  2011-10-22

2.  Extracting medication information from clinical text.

Authors:  Ozlem Uzuner; Imre Solti; Eithon Cadag
Journal:  J Am Med Inform Assoc       Date:  2010 Sep-Oct       Impact factor: 4.497

3.  Knowledge-based methods to help clinicians find answers in MEDLINE.

Authors:  Charles A Sneiderman; Dina Demner-Fushman; Marcelo Fiszman; Nicholas C Ide; Thomas C Rindflesch
Journal:  J Am Med Inform Assoc       Date:  2007-08-21       Impact factor: 4.497

4.  Recognizing obesity and comorbidities in sparse data.

Authors:  Ozlem Uzuner
Journal:  J Am Med Inform Assoc       Date:  2009-04-23       Impact factor: 4.497

5.  2010 i2b2/VA challenge on concepts, assertions, and relations in clinical text.

Authors:  Özlem Uzuner; Brett R South; Shuying Shen; Scott L DuVall
Journal:  J Am Med Inform Assoc       Date:  2011-06-16       Impact factor: 4.497

6.  Identifying patient smoking status from medical discharge records.

Authors:  Ozlem Uzuner; Ira Goldstein; Yuan Luo; Isaac Kohane
Journal:  J Am Med Inform Assoc       Date:  2007-10-18       Impact factor: 4.497

7.  New directions in biomedical text annotation: definitions, guidelines and corpus construction.

Authors:  W John Wilbur; Andrey Rzhetsky; Hagit Shatkay
Journal:  BMC Bioinformatics       Date:  2006-07-25       Impact factor: 3.169

8.  Building a protein name dictionary from full text: a machine learning term extraction approach.

Authors:  Lei Shi; Fabien Campagne
Journal:  BMC Bioinformatics       Date:  2005-04-07       Impact factor: 3.169

9.  Normalizing acronyms and abbreviations to aid patient understanding of clinical texts: ShARe/CLEF eHealth Challenge 2013, Task 2.

Authors:  Danielle L Mowery; Brett R South; Lee Christensen; Jianwei Leng; Laura-Maria Peltonen; Sanna Salanterä; Hanna Suominen; David Martinez; Sumithra Velupillai; Noémie Elhadad; Guergana Savova; Sameer Pradhan; Wendy W Chapman
Journal:  J Biomed Semantics       Date:  2016-07-01
  9 in total

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