 Natural Language Processing
"Natural Language Processing" is a descriptor in the National Library of Medicine's controlled vocabulary thesaurus,
MeSH (Medical Subject Headings). Descriptors are arranged in a hierarchical structure,
which enables searching at various levels of specificity.
Computer processing of a language with rules that reflect and describe current usage rather than prescribed usage.
| Descriptor ID |
D009323
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| MeSH Number(s) |
L01.224.050.375.580
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| Concept/Terms |
Natural Language Processing- Natural Language Processing
- Language Processing, Natural
- Language Processings, Natural
- Natural Language Processings
- Processing, Natural Language
- Processings, Natural Language
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Below are MeSH descriptors whose meaning is more general than "Natural Language Processing".
Below are MeSH descriptors whose meaning is more specific than "Natural Language Processing".
This graph shows the total number of publications written about "Natural Language Processing" by people in this website by year, and whether "Natural Language Processing" was a major or minor topic of these publications.
To see the data from this visualization as text, click here.
| Year | Major Topic | Minor Topic | Total |
|---|
| 1995 | 0 | 1 | 1 | | 1999 | 1 | 0 | 1 | | 2004 | 0 | 1 | 1 | | 2005 | 2 | 0 | 2 | | 2006 | 1 | 3 | 4 | | 2007 | 2 | 1 | 3 | | 2008 | 6 | 1 | 7 | | 2009 | 2 | 1 | 3 | | 2010 | 0 | 5 | 5 | | 2011 | 3 | 0 | 3 | | 2012 | 4 | 1 | 5 | | 2013 | 2 | 1 | 3 | | 2014 | 2 | 2 | 4 | | 2015 | 3 | 1 | 4 | | 2016 | 2 | 4 | 6 | | 2017 | 4 | 0 | 4 | | 2018 | 3 | 1 | 4 | | 2019 | 1 | 1 | 2 | | 2020 | 2 | 1 | 3 |
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Below are the most recent publications written about "Natural Language Processing" by people in Profiles.
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Robinson PN, Haendel MA. Ontologies, Knowledge Representation, and Machine Learning for Translational Research: Recent Contributions. Yearb Med Inform. 2020 Aug; 29(1):159-162.
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Neuraz A, Lerner I, Digan W, Paris N, Tsopra R, Rogier A, Baudoin D, Cohen KB, Burgun A, Garcelon N, Rance B. Natural Language Processing for Rapid Response to Emergent Diseases: Case Study of Calcium Channel Blockers and Hypertension in the COVID-19 Pandemic. J Med Internet Res. 2020 Aug 14; 22(8):e20773.
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Geva A, Abman SH, Manzi SF, Ivy DD, Mullen MP, Griffin J, Lin C, Savova GK, Mandl KD. Adverse drug event rates in pediatric pulmonary hypertension: a comparison of real-world data sources. J Am Med Inform Assoc. 2020 02 01; 27(2):294-300.
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Kim JD, Wang Y, Fujiwara T, Okuda S, Callahan TJ, Cohen KB. Open Agile text mining for bioinformatics: the PubAnnotation ecosystem. Bioinformatics. 2019 11 01; 35(21):4372-4380.
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Mishra R, Burke A, Gitman B, Verma P, Engelstad M, Haendel MA, Alevizos I, Gahl WA, Collins MT, Lee JS, Sincan M. Data-driven method to enhance craniofacial and oral phenotype vocabularies. J Am Dent Assoc. 2019 11; 150(11):933-939.e2.
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Weissman GE, Hubbard RA, Ungar LH, Harhay MO, Greene CS, Himes BE, Halpern SD. Inclusion of Unstructured Clinical Text Improves Early Prediction of Death or Prolonged ICU Stay. Crit Care Med. 2018 07; 46(7):1125-1132.
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Goss FR, Lai KH, Topaz M, Acker WW, Kowalski L, Plasek JM, Blumenthal KG, Seger DL, Slight SP, Wah Fung K, Chang FY, Bates DW, Zhou L. A value set for documenting adverse reactions in electronic health records. J Am Med Inform Assoc. 2018 06 01; 25(6):661-669.
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Levy AE, Shah NR, Matheny ME, Reeves RM, Gobbel GT, Bradley SM. Determining post-test risk in a national sample of stress nuclear myocardial perfusion imaging reports: Implications for natural language processing tools. J Nucl Cardiol. 2019 12; 26(6):1878-1885.
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Boguslav M, Cohen KB, Baumgartner WA, Hunter LE. Improving precision in concept normalization. Pac Symp Biocomput. 2018; 23:566-577.
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Beuther DA, Krishnan JA. Finding Asthma: Building a Foundation for Care and Discovery. Am J Respir Crit Care Med. 2017 08 15; 196(4):401-402.
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