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
|
MeSH Number(s) |
L01.224.050.375.580
|
Concept/Terms |
Natural Language Processing- Natural Language Processing
- Language Processing, Natural
- Language Processings, Natural
- Natural Language Processings
- Processing, Natural Language
- Processings, Natural Language
|
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.
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Year | Major Topic | Minor Topic | Total |
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2004 | 3 | 0 | 3 |
2005 | 0 | 1 | 1 |
2007 | 3 | 0 | 3 |
2019 | 0 | 1 | 1 |
2023 | 1 | 0 | 1 |
2024 | 1 | 0 | 1 |
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Below are the most recent publications written about "Natural Language Processing" by people in Profiles.
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How Does a Generative Large Language Model Perform on Domain-Specific Information Extraction?-A Comparison between GPT-4 and a Rule-Based Method on Band Gap Extraction. J Chem Inf Model. 2024 Oct 28; 64(20):7895-7904.
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The Use of Natural Language Processing to Assess Social Support in Patients With Advanced Cancer. Oncologist. 2023 02 08; 28(2):165-171.
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Transparent Reporting on Research Using Unstructured Electronic Health Record Data to Generate 'Real World' Evidence of Comparative Effectiveness and Safety. Drug Saf. 2019 11; 42(11):1297-1309.
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Evaluation of Use of Technologies to Facilitate Medical Chart Review. Drug Saf. 2019 09; 42(9):1071-1080.
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Determining Emotional Tone and Verbal Behavior in Patients With Tinnitus and Hyperacusis: An Exploratory Mixed-Methods Study. Am J Audiol. 2019 Sep 13; 28(3):660-672.
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Use of electronic healthcare records to identify complex patients with atrial fibrillation for targeted intervention. J Am Med Inform Assoc. 2017 Mar 01; 24(2):339-344.
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Text mining electronic hospital records to automatically classify admissions against disease: Measuring the impact of linking data sources. J Biomed Inform. 2016 12; 64:158-167.
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Déjà vu--a study of duplicate citations in Medline. Bioinformatics. 2008 Jan 15; 24(2):243-9.
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Clustering microarray-derived gene lists through implicit literature relationships. Bioinformatics. 2007 Aug 01; 23(15):1995-2003.
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Medline: the knowledge buried therein, its potential, and cost. IEEE Eng Med Biol Mag. 2007 May-Jun; 26(3):73-4.