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 |
|---|
| 2005 | 1 | 0 | 1 |
| 2006 | 1 | 0 | 1 |
| 2009 | 0 | 1 | 1 |
| 2012 | 2 | 0 | 2 |
| 2013 | 2 | 1 | 3 |
| 2014 | 0 | 1 | 1 |
| 2015 | 1 | 1 | 2 |
| 2016 | 1 | 0 | 1 |
| 2017 | 0 | 1 | 1 |
| 2018 | 1 | 0 | 1 |
| 2019 | 2 | 0 | 2 |
| 2020 | 2 | 4 | 6 |
| 2021 | 2 | 1 | 3 |
| 2022 | 1 | 3 | 4 |
| 2023 | 1 | 0 | 1 |
| 2024 | 2 | 0 | 2 |
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Below are the most recent publications written about "Natural Language Processing" by people in Profiles.
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Identifying the Severity of Heart Valve Stenosis and Regurgitation Among a Diverse Population Within an Integrated Health Care System: Natural Language Processing Approach. JMIR Cardio. 2024 Sep 30; 8:e60503.
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Rule-based natural language processing to examine variation in worsening heart failure hospitalizations by age, sex, race and ethnicity, and left ventricular ejection fraction. Am Heart J. 2024 Dec; 278:117-126.
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Using natural language processing to identify child maltreatment in health systems. Child Abuse Negl. 2023 Apr; 138:106090.
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Evaluation of the portability of computable phenotypes with natural language processing in the eMERGE network. Sci Rep. 2023 Feb 03; 13(1):1971.
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Improving Methods of Identifying Anaphylaxis for Medical Product Safety Surveillance Using Natural Language Processing and Machine Learning. Am J Epidemiol. 2023 Feb 01; 192(2):283-295.
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Natural Language Processing for Improved Characterization of COVID-19 Symptoms: Observational Study of 350,000 Patients in a Large Integrated Health Care System. JMIR Public Health Surveill. 2022 12 30; 8(12):e41529.
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Identifying Cases of Shoulder Injury Related to Vaccine Administration (SIRVA) in the United States: Development and Validation of a Natural Language Processing Method. JMIR Public Health Surveill. 2022 05 24; 8(5):e30426.
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Development of a machine learning model to predict mild cognitive impairment using natural language processing in the absence of screening. BMC Med Inform Decis Mak. 2022 05 12; 22(1):129.
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Clinical documentation of patient-reported medical cannabis use in primary care: Toward scalable extraction using natural language processing methods. Subst Abus. 2022; 43(1):917-924.
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A Natural Language Processing-Based Approach for Identifying Hospitalizations for Worsening Heart Failure Within an Integrated Health Care Delivery System. JAMA Netw Open. 2021 11 01; 4(11):e2135152.