Literature DB >> 29295113

Translational Morphosyntax: Distribution of Negation in Clinical Records and Biomedical Journal Articles.

K Bretonnel Cohen1, Foster R Goss2, Pierre Zweigenbaum3, Lawrence E Hunter1.   

Abstract

Prior knowledge of the distributional characteristics of linguistic phenomena can be useful for a variety of language processing tasks. This paper describes the distribution of negation in two types of biomedical texts: scientific journal articles and progress notes. Two types of negation are examined: explicit negation at the syntactic level and affixal negation at the sub-word level. The data show that the distribution of negation is significantly different in the two document types, with explicit negation more frequent in the clinical documents than in the scientific publications and affixal negation more frequent in the journal articles at the type level and token levels. All code is available on GitHub <fnr rid="fn001" /><fn id="fn001">https://github.com/KevinBretonnelCohen/NegationDistribution </fn>.

Keywords:  Data Mining; Linguistics; Natural Language Processing

Mesh:

Year:  2017        PMID: 29295113

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


  3 in total

1.  Augmented intelligence with natural language processing applied to electronic health records for identifying patients with non-alcoholic fatty liver disease at risk for disease progression.

Authors:  Tielman T Van Vleck; Lili Chan; Steven G Coca; Catherine K Craven; Ron Do; Stephen B Ellis; Joseph L Kannry; Ruth J F Loos; Peter A Bonis; Judy Cho; Girish N Nadkarni
Journal:  Int J Med Inform       Date:  2019-07-06       Impact factor: 4.046

2.  Three Dimensions of Reproducibility in Natural Language Processing.

Authors:  K Bretonnel Cohen; Jingbo Xia; Pierre Zweigenbaum; Tiffany J Callahan; Orin Hargraves; Foster Goss; Nancy Ide; Aurélie Névéol; Cyril Grouin; Lawrence E Hunter
Journal:  LREC Int Conf Lang Resour Eval       Date:  2018-05

3.  Using Natural Language Processing Techniques to Detect Adverse Events From Progress Notes Due to Chemotherapy.

Authors:  Yukinori Mashima; Takashi Tamura; Jun Kunikata; Shinobu Tada; Akiko Yamada; Masatoshi Tanigawa; Akiko Hayakawa; Hirokazu Tanabe; Hideto Yokoi
Journal:  Cancer Inform       Date:  2022-03-22
  3 in total

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