 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 UAMS Profiles 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 |
|---|
| 2024 | 4 | 1 | 5 | | 2023 | 0 | 3 | 3 | | 2022 | 2 | 1 | 3 | | 2021 | 2 | 2 | 4 | | 2020 | 2 | 0 | 2 | | 2019 | 1 | 1 | 2 | | 2018 | 0 | 1 | 1 | | 2017 | 0 | 1 | 1 | | 2016 | 0 | 1 | 1 | | 2015 | 1 | 0 | 1 | | 2014 | 1 | 0 | 1 | | 2013 | 2 | 0 | 2 | | 2012 | 1 | 0 | 1 | | 2010 | 1 | 0 | 1 | | 2008 | 1 | 0 | 1 |
To return to the timeline, click here.
Below are the most recent publications written about "Natural Language Processing" by people in Profiles over the past ten years.
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Peng C, Yang X, Chen A, Yu Z, Smith KE, Costa AB, Flores MG, Bian J, Wu Y. Generative large language models are all-purpose text analytics engines: text-to-text learning is all your need. J Am Med Inform Assoc. 2024 Sep 01; 31(9):1892-1903.
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Mathis WS, Zhao S, Pratt N, Weleff J, De Paoli S. Inductive thematic analysis of healthcare qualitative interviews using open-source large language models: How does it compare to traditional methods? Comput Methods Programs Biomed. 2024 Oct; 255:108356.
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Yu Z, Peng C, Yang X, Dang C, Adekkanattu P, Gopal Patra B, Peng Y, Pathak J, Wilson DL, Chang CY, Lo-Ciganic WH, George TJ, Hogan WR, Guo Y, Bian J, Wu Y. Identifying social determinants of health from clinical narratives: A study of performance, documentation ratio, and potential bias. J Biomed Inform. 2024 May; 153:104642.
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Lemas DJ, Du X, Rouhizadeh M, Lewis B, Frank S, Wright L, Spirache A, Gonzalez L, Cheves R, Magalh?es M, Zapata R, Reddy R, Xu K, Parker L, Harle C, Young B, Louis-Jaques A, Zhang B, Thompson L, Hogan WR, Modave F. Classifying early infant feeding status from clinical notes using natural language processing and machine learning. Sci Rep. 2024 04 03; 14(1):7831.
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Peng C, Yang X, Smith KE, Yu Z, Chen A, Bian J, Wu Y. Model tuning or prompt Tuning? a study of large language models for clinical concept and relation extraction. J Biomed Inform. 2024 May; 153:104630.
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Peng C, Yang X, Yu Z, Bian J, Hogan WR, Wu Y. Clinical concept and relation extraction using prompt-based machine reading comprehension. J Am Med Inform Assoc. 2023 08 18; 30(9):1486-1493.
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Liu S, McCoy AB, Aldrich MC, Sandler KL, Reese TJ, Steitz B, Bian J, Wu Y, Russo E, Wright A. Leveraging natural language processing to identify eligible lung cancer screening patients with the electronic health record. Int J Med Inform. 2023 09; 177:105136.
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Chen A, Yu Z, Yang X, Guo Y, Bian J, Wu Y. Contextualized medication information extraction using Transformer-based deep learning architectures. J Biomed Inform. 2023 06; 142:104370.
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Fu S, Wang L, Moon S, Zong N, He H, Pejaver V, Relevo R, Walden A, Haendel M, Chute CG, Liu H. Recommended practices and ethical considerations for natural language processing-assisted observational research: A scoping review. Clin Transl Sci. 2023 03; 16(3):398-411.
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Yu Z, Yang X, Guo Y, Bian J, Wu Y. Assessing the Documentation of Social Determinants of Health for Lung Cancer Patients in Clinical Narratives. Front Public Health. 2022; 10:778463.
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Yu Z, Yang X, Dang C, Wu S, Adekkanattu P, Pathak J, George TJ, Hogan WR, Guo Y, Bian J, Wu Y. A Study of Social and Behavioral Determinants of Health in Lung Cancer Patients Using Transformers-based Natural Language Processing Models. AMIA Annu Symp Proc. 2021; 2021:1225-1233.
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Patra BG, Sharma MM, Vekaria V, Adekkanattu P, Patterson OV, Glicksberg B, Lepow LA, Ryu E, Biernacka JM, Furmanchuk A, George TJ, Hogan W, Wu Y, Yang X, Bian J, Weissman M, Wickramaratne P, Mann JJ, Olfson M, Campion TR, Weiner M, Pathak J. Extracting social determinants of health from electronic health records using natural language processing: a systematic review. J Am Med Inform Assoc. 2021 11 25; 28(12):2716-2727.
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Syed S, Tharian B, Syeda HB, Zozus M, Greer ML, Bhattacharyya S, Syed M, Prior F. Consolidated EHR Workflow for Endoscopy Quality Reporting. Stud Health Technol Inform. 2021 May 27; 281:427-431.
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Syed M, Al-Shukri S, Syed S, Sexton K, Greer ML, Zozus M, Bhattacharyya S, Prior F. DeIDNER Corpus: Annotation of Clinical Discharge Summary Notes for Named Entity Recognition Using BRAT Tool. Stud Health Technol Inform. 2021 May 27; 281:432-436.
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Hoang L, Boyce RD, Bosch N, Stottlemyer B, Brochhausen M, Schneider J. Automatically classifying the evidence type of drug-drug interaction research papers as a step toward computer supported evidence curation. AMIA Annu Symp Proc. 2020; 2020:554-563.
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Yang X, Bian J, Hogan WR, Wu Y. Clinical concept extraction using transformers. J Am Med Inform Assoc. 2020 12 09; 27(12):1935-1942.
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Yang X, Bian J, Fang R, Bjarnadottir RI, Hogan WR, Wu Y. Identifying relations of medications with adverse drug events using recurrent convolutional neural networks and gradient boosting. J Am Med Inform Assoc. 2020 01 01; 27(1):65-72.
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Yang X, Lyu T, Li Q, Lee CY, Bian J, Hogan WR, Wu Y. A study of deep learning methods for de-identification of clinical notes in cross-institute settings. BMC Med Inform Decis Mak. 2019 12 05; 19(Suppl 5):232.
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Yang X, Bian J, Gong Y, Hogan WR, Wu Y. MADEx: A System for Detecting Medications, Adverse Drug Events, and Their Relations from Clinical Notes. Drug Saf. 2019 01; 42(1):123-133.
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Wang P, Garza M, Zozus M. Cancer Phenotype Development: A Literature Review. Stud Health Technol Inform. 2019; 257:468-472.
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Wu Y, Yang X, Bian J, Guo Y, Xu H, Hogan W. Combine Factual Medical Knowledge and Distributed Word Representation to Improve Clinical Named Entity Recognition. AMIA Annu Symp Proc. 2018; 2018:1110-1117.
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He Z, Tao C, Bian J, Dumontier M, Hogan WR. Semantics-Powered Healthcare Engineering and Data Analytics. J Healthc Eng. 2017; 2017:7983473.
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Ceusters W, Bona J. Ontological Foundations for Tracking Data Quality through the Internet of Things. Stud Health Technol Inform. 2016; 221:74-8.
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Ayvaz S, Horn J, Hassanzadeh O, Zhu Q, Stan J, Tatonetti NP, Vilar S, Brochhausen M, Samwald M, Rastegar-Mojarad M, Dumontier M, Boyce RD. Toward a complete dataset of drug-drug interaction information from publicly available sources. J Biomed Inform. 2015 Jun; 55:206-17.
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Zhou Y, Amundson PK, Yu F, Kessler MM, Benzinger TL, Wippold FJ. Automated classification of radiology reports to facilitate retrospective study in radiology. J Digit Imaging. 2014 Dec; 27(6):730-6.
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