Literature DB >> 18694215

Adaptation of the NegEx algorithm to Veterans Affairs electronic text notes for detection of influenza-like illness (ILI).

Brett R South1, Shobha Phansalkar, Ashwin Deepak Swaminathan, Sylvain Delisle, Trish Perl, Matthew H Samore.   

Abstract

We tested automated detection of influenza-like illness (ILI) from free-text clinician notes extracted from the VA electronic medical record using a simple negation algorithm coupled with string matching for relevant ILI symptoms mapped to UMLS concepts. Additionally, we documented negation problems encountered and adaptations made to the negation algorithm when applied to the full texts of a diverse array of VA note types and templates.

Mesh：

Year:  2007        PMID： 18694215

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


  7 in total

1.  Validating a strategy for psychosocial phenotyping using a large corpus of clinical text.

Authors:  Adi V Gundlapalli; Andrew Redd; Marjorie Carter; Guy Divita; Shuying Shen; Miland Palmer; Matthew H Samore
Journal:  J Am Med Inform Assoc       Date:  2013-10-29       Impact factor: 4.497

2.  Improving a full-text search engine: the importance of negation detection and family history context to identify cases in a biomedical data warehouse.

Authors:  Nicolas Garcelon; Antoine Neuraz; Vincent Benoit; Rémi Salomon; Anita Burgun
Journal:  J Am Med Inform Assoc       Date:  2017-05-01       Impact factor: 4.497

3.  Negation's not solved: generalizability versus optimizability in clinical natural language processing.

Authors:  Stephen Wu; Timothy Miller; James Masanz; Matt Coarr; Scott Halgrim; David Carrell; Cheryl Clark
Journal:  PLoS One       Date:  2014-11-13       Impact factor: 3.240

4.  Evaluation of negation and uncertainty detection and its impact on precision and recall in search.

Authors:  Andrew S Wu; Bao H Do; Jinsuh Kim; Daniel L Rubin
Journal:  J Digit Imaging       Date:  2009-11-10       Impact factor: 4.056

5.  Epidemic surveillance using an electronic medical record: an empiric approach to performance improvement.

Authors:  Hongzhang Zheng; Holly Gaff; Gary Smith; Sylvain DeLisle
Journal:  PLoS One       Date:  2014-07-09       Impact factor: 3.240

6.  Desiderata for computable representations of electronic health records-driven phenotype algorithms.

Authors:  Huan Mo; William K Thompson; Luke V Rasmussen; Jennifer A Pacheco; Guoqian Jiang; Richard Kiefer; Qian Zhu; Jie Xu; Enid Montague; David S Carrell; Todd Lingren; Frank D Mentch; Yizhao Ni; Firas H Wehbe; Peggy L Peissig; Gerard Tromp; Eric B Larson; Christopher G Chute; Jyotishman Pathak; Joshua C Denny; Peter Speltz; Abel N Kho; Gail P Jarvik; Cosmin A Bejan; Marc S Williams; Kenneth Borthwick; Terrie E Kitchner; Dan M Roden; Paul A Harris
Journal:  J Am Med Inform Assoc       Date:  2015-09-05       Impact factor: 4.497

7.  Can long-term historical data from electronic medical records improve surveillance for epidemics of acute respiratory infections? A systematic evaluation.

Authors:  Hongzhang Zheng; William H Woodall; Abigail L Carlson; Sylvain DeLisle
Journal:  PLoS One       Date:  2018-01-31       Impact factor: 3.240
  7 in total

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