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.

MeSH information

Definition | Details | More General Concepts | Related Concepts | More Specific Concepts

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".

Information Science [L]
Information Science [L01]
Computing Methodologies [L01.224]
Algorithms [L01.224.050]
Artificial Intelligence [L01.224.050.375]
Natural Language Processing [L01.224.050.375.580]

Below are MeSH descriptors whose meaning is related to "Natural Language Processing".

Below are MeSH descriptors whose meaning is more specific than "Natural Language Processing".

publications

Timeline | Most Recent

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.

Bar chart showing 16 publications over 7 distinct years, with a maximum of 4 publications in 2024 and 2025

To see the data from this visualization as text, click here.

Year	Major Topic	Minor Topic	Total
2004	2	0	2
2013	2	0	2
2015	1	0	1
2020	0	1	1
2021	1	1	2
2024	2	2	4
2025	3	1	4

Below are the most recent publications written about "Natural Language Processing" by people in Profiles.

Jenders RA. Evaluation of Arden Syntax v3.0 to Represent Population-Level Clinical Decision Support Knowledge in Electronic Clinical Quality Measures. Stud Health Technol Inform. 2025 Aug 07; 329:1564-1565.

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Liepold J, Grob M, Kreinovich V, Jenders RA, Adlassnig KP. Clinical Automata in Fuzzy Arden Syntax. Stud Health Technol Inform. 2025 Jun 26; 328:163-167.

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Davis VH, Qiang JR, Adekoya MacCarthy I, Howse D, Seshie AZ, Kosowan L, Delahunty-Pike A, Abaga E, Cooney J, Robinson M, Senior D, Zsager A, Aubrey-Bassler K, Irwin M, Jackson LA, Katz A, Marshall EG, Muhajarine N, Neudorf C, Garies S, Pinto AD. Perspectives on Using Artificial Intelligence to Derive Social Determinants of Health Data From Medical Records in Canada: Large Multijurisdictional Qualitative Study. J Med Internet Res. 2025 Mar 06; 27:e52244.

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Das S, Ge Y, Guo Y, Rajwal S, Hairston J, Powell J, Walker D, Peddireddy S, Lakamana S, Bozkurt S, Reyna M, Sameni R, Xiao Y, Kim S, Chandler R, Hernandez N, Mowery D, Wightman R, Love J, Spadaro A, Perrone J, Sarker A. Two-Layer Retrieval-Augmented Generation Framework for Low-Resource Medical Question Answering Using Reddit Data: Proof-of-Concept Study. J Med Internet Res. 2025 Jan 06; 27:e66220.

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Kuhn D, Harrison NE, Musey PI, Crandall DJ, Pang PS, Welch JL, Harle CA. Preliminary findings regarding the association between patient demographics and ED experience scores across a regional health system: A cross sectional study using natural language processing of patient comments. Int J Med Inform. 2025 Mar; 195:105748.

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Grob M, Jenders RA, Rappelsberger A, Adlassnig KP. Integrated Perspectives on Clinical Decision Support: A Comparative Analysis of Knowledge Management Approaches. Stud Health Technol Inform. 2024 08 22; 316:1822-1826.

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Lu MY, Chen B, Williamson DFK, Chen RJ, Zhao M, Chow AK, Ikemura K, Kim A, Pouli D, Patel A, Soliman A, Chen C, Ding T, Wang JJ, Gerber G, Liang I, Le LP, Parwani AV, Weishaupt LL, Mahmood F. A multimodal generative AI copilot for human pathology. Nature. 2024 Oct; 634(8033):466-473.

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Menger NS, Tognetti A, Farruggia MC, Mucignat C, Bhutani S, Cooper KW, Rohlfs Dom?nguez P, Heinbockel T, Shields VDC, D'Errico A, Pereda-Loth V, Pierron D, Koyama S, Croijmans I. Giving a Voice to Patients With Smell Disorders Associated With COVID-19: Cross-Sectional Longitudinal Analysis Using Natural Language Processing of Self-Reports. JMIR Public Health Surveill. 2024 05 10; 10:e47064.

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Heredia FL, Roche-Lima A, Par?s-Matos EI. A novel artificial intelligence-based approach for identification of deoxynucleotide aptamers. PLoS Comput Biol. 2021 08; 17(8):e1009247.

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Shung D, Tsay C, Laine L, Chang D, Li F, Thomas P, Partridge C, Simonov M, Hsiao A, Tay JK, Taylor A. Early identification of patients with acute gastrointestinal bleeding using natural language processing and decision rules. J Gastroenterol Hepatol. 2021 Jun; 36(6):1590-1597.

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