 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) |
L01.224.065.580
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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 |
|---|
| 2003 | 2 | 0 | 2 | | 2004 | 1 | 0 | 1 | | 2006 | 7 | 0 | 7 | | 2007 | 1 | 0 | 1 | | 2008 | 1 | 1 | 2 | | 2009 | 0 | 1 | 1 | | 2010 | 3 | 2 | 5 | | 2011 | 3 | 2 | 5 | | 2012 | 1 | 0 | 1 | | 2013 | 1 | 0 | 1 | | 2014 | 0 | 1 | 1 | | 2015 | 2 | 0 | 2 | | 2016 | 0 | 1 | 1 |
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Below are the most recent publications written about "Natural Language Processing" by people in Profiles.
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Chang M, Chang M, Reed JZ, Milward D, Xu JJ, Cornell WD. Developing timely insights into comparative effectiveness research with a text-mining pipeline. Drug Discov Today. 2016 Mar; 21(3):473-80.
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Wang Y, Luo J, Hao S, Xu H, Shin AY, Jin B, Liu R, Deng X, Wang L, Zheng L, Zhao Y, Zhu C, Hu Z, Fu C, Hao Y, Zhao Y, Jiang Y, Dai D, Culver DS, Alfreds ST, Todd R, Stearns F, Sylvester KG, Widen E, Ling XB. NLP based congestive heart failure case finding: A prospective analysis on statewide electronic medical records. Int J Med Inform. 2015 Dec; 84(12):1039-47.
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Branch-Elliman W, Strymish J, Kudesia V, Rosen AK, Gupta K. Natural Language Processing for Real-Time Catheter-Associated Urinary Tract Infection Surveillance: Results of a Pilot Implementation Trial. Infect Control Hosp Epidemiol. 2015 Sep; 36(9):1004-10.
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Yu S, Kumamaru KK, George E, Dunne RM, Bedayat A, Neykov M, Hunsaker AR, Dill KE, Cai T, Rybicki FJ. Classification of CT pulmonary angiography reports by presence, chronicity, and location of pulmonary embolism with natural language processing. J Biomed Inform. 2014 Dec; 52:386-93.
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Watts BV, Shiner B, Zubkoff L, Carpenter-Song E, Ronconi JM, Coldwell CM. Implementation of evidence-based psychotherapies for posttraumatic stress disorder in VA specialty clinics. Psychiatr Serv. 2014 May 1; 65(5):648-53.
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Liu F, Yu H. Learning to rank figures within a biomedical article. PLoS One. 2014; 9(3):e61567.
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Polepalli Ramesh B, Houston T, Brandt C, Fang H, Yu H. Improving patients' electronic health record comprehension with NoteAid. Stud Health Technol Inform. 2013; 192:714-8.
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Ramesh BP, Prasad R, Miller T, Harrington B, Yu H. Automatic discourse connective detection in biomedical text. J Am Med Inform Assoc. 2012 Sep-Oct; 19(5):800-8.
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Miller T, Ravvaz K, Cimino JJ, Yu H. An investigation into the feasibility of spoken clinical question answering. AMIA Annu Symp Proc. 2011; 2011:954-9.
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Murff HJ, FitzHenry F, Matheny ME, Gentry N, Kotter KL, Crimin K, Dittus RS, Rosen AK, Elkin PL, Brown SH, Speroff T. Automated identification of postoperative complications within an electronic medical record using natural language processing. JAMA. 2011 Aug 24; 306(8):848-55.
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