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Table representation of search results timeline featuring number of search results per year.

Year Number of Results
1977 1
1982 3
1983 5
1984 4
1985 2
1986 2
1987 1
1988 4
1989 4
1990 5
1991 10
1992 9
1993 5
1994 9
1995 9
1996 15
1997 6
1998 14
1999 17
2000 11
2001 19
2002 22
2003 31
2004 24
2005 45
2006 46
2007 56
2008 65
2009 75
2010 70
2011 70
2012 104
2013 135
2014 116
2015 163
2016 148
2017 211
2018 259
2019 376
2020 427
2021 632
2022 881
2023 746
2024 1

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4,419 results

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Page 1
New meaning for NLP: the trials and tribulations of natural language processing with GPT-3 in ophthalmology.
Nath S, Marie A, Ellershaw S, Korot E, Keane PA. Nath S, et al. Br J Ophthalmol. 2022 Jul;106(7):889-892. doi: 10.1136/bjophthalmol-2022-321141. Epub 2022 May 6. Br J Ophthalmol. 2022. PMID: 35523534 Review.
Natural language processing (NLP) is a subfield of machine intelligence focused on the interaction of human language with computer systems. ...The release of GPT-3 has also sparked renewed interest on the applicability of NLP to contemporary healthcare problems. Thi …
Natural language processing (NLP) is a subfield of machine intelligence focused on the interaction of human language with computer sy …
The language of proteins: NLP, machine learning & protein sequences.
Ofer D, Brandes N, Linial M. Ofer D, et al. Comput Struct Biotechnol J. 2021 Mar 25;19:1750-1758. doi: 10.1016/j.csbj.2021.03.022. eCollection 2021. Comput Struct Biotechnol J. 2021. PMID: 33897979 Free PMC article. Review.
In recent years, following a series of breakthroughs in deep and machine learning, NLP methods have shown overwhelming progress. Here, we review the success, promise and pitfalls of applying NLP algorithms to the study of proteins. ...Finally, we discuss trends and …
In recent years, following a series of breakthroughs in deep and machine learning, NLP methods have shown overwhelming progress. Here …
Deep learning in clinical natural language processing: a methodical review.
Wu S, Roberts K, Datta S, Du J, Ji Z, Si Y, Soni S, Wang Q, Wei Q, Xiang Y, Zhao B, Xu H. Wu S, et al. J Am Med Inform Assoc. 2020 Mar 1;27(3):457-470. doi: 10.1093/jamia/ocz200. J Am Med Inform Assoc. 2020. PMID: 31794016 Free PMC article. Review.
DISCUSSION: Our analysis shows growing acceptance of deep learning as a baseline for NLP research, and of DL-based NLP in the medical community. A number of common associations were substantiated (eg, the preference of recurrent neural networks for sequence-labeling …
DISCUSSION: Our analysis shows growing acceptance of deep learning as a baseline for NLP research, and of DL-based NLP in the …
Nlp enhances biofilm formation by Yersinia pestis biovar microtus.
Liu L, He Y, Yang H, Liu W, Zheng S, Qi Y, Zhou D, Zhang Y, Yin Z. Liu L, et al. Microb Pathog. 2022 Aug;169:105659. doi: 10.1016/j.micpath.2022.105659. Epub 2022 Jun 25. Microb Pathog. 2022. PMID: 35760284
Biofilms formed by Yersinia pestis are able to attach to and block flea's proventriculus, which stimulates the transmission of this pathogen from fleas to mammals. In this study, we found that Nlp (YP1143) enhanced biofilm formation by Y. pestis and had regulatory effects …
Biofilms formed by Yersinia pestis are able to attach to and block flea's proventriculus, which stimulates the transmission of this pathogen …
Natural language processing systems for capturing and standardizing unstructured clinical information: A systematic review.
Kreimeyer K, Foster M, Pandey A, Arya N, Halford G, Jones SF, Forshee R, Walderhaug M, Botsis T. Kreimeyer K, et al. J Biomed Inform. 2017 Sep;73:14-29. doi: 10.1016/j.jbi.2017.07.012. Epub 2017 Jul 17. J Biomed Inform. 2017. PMID: 28729030 Free PMC article. Review.
We followed a systematic approach based on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses to identify existing clinical natural language processing (NLP) systems that generate structured information from unstructured free text. ...These papers conta …
We followed a systematic approach based on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses to identify existing clini …
A frame semantic overview of NLP-based information extraction for cancer-related EHR notes.
Datta S, Bernstam EV, Roberts K. Datta S, et al. J Biomed Inform. 2019 Dec;100:103301. doi: 10.1016/j.jbi.2019.103301. Epub 2019 Oct 4. J Biomed Inform. 2019. PMID: 31589927 Free article. Review.
In this paper, we present a scoping review of existing clinical NLP literature for cancer. METHODS: We identified studies describing an NLP method to extract specific cancer-related information from EHR sources from PubMed, Google Scholar, ACL Anthology, and existin …
In this paper, we present a scoping review of existing clinical NLP literature for cancer. METHODS: We identified studies describing …
The role of centrosomal Nlp in the control of mitotic progression and tumourigenesis.
Li J, Zhan Q. Li J, et al. Br J Cancer. 2011 May 10;104(10):1523-8. doi: 10.1038/bjc.2011.130. Epub 2011 Apr 19. Br J Cancer. 2011. PMID: 21505454 Free PMC article. Review.
In addition, we first demonstrate that the expression of Nlp is elevated primarily due to NLP gene amplification in human breast cancer and lung carcinoma. Consistently, transgenic mice overexpressing Nlp display spontaneous tumours in breast, ovary and testi …
In addition, we first demonstrate that the expression of Nlp is elevated primarily due to NLP gene amplification in human brea …
Hierarchical semantic structures for medical NLP.
Taira RK, Arnold CW. Taira RK, et al. Stud Health Technol Inform. 2013;192:1194. Stud Health Technol Inform. 2013. PMID: 23920968 Review.
We present a framework for building a medical natural language processing (NLP) system capable of deep understanding of clinical text reports. ...The poster presents an architecture for which diverse efforts and resources in medical NLP can be integrated in a princi …
We present a framework for building a medical natural language processing (NLP) system capable of deep understanding of clinical text …
Application of Natural Language Processing (NLP) in Detecting and Preventing Suicide Ideation: A Systematic Review.
Arowosegbe A, Oyelade T. Arowosegbe A, et al. Int J Environ Res Public Health. 2023 Jan 13;20(2):1514. doi: 10.3390/ijerph20021514. Int J Environ Res Public Health. 2023. PMID: 36674270 Free PMC article. Review.
Twenty papers were finally included in this review. (4) Discussion: Studies show that combining structured and unstructured data in NLP data modelling yielded more accurate results than utilizing either alone. ...The review's analysis of the included research revealed that …
Twenty papers were finally included in this review. (4) Discussion: Studies show that combining structured and unstructured data in NLP …
Translational NLP: A New Paradigm and General Principles for Natural Language Processing Research.
Newman-Griffis D, Lehman JF, Rosé C, Hochheiser H. Newman-Griffis D, et al. Proc Conf. 2021 Jun;2021:4125-4138. Proc Conf. 2021. PMID: 34179899 Free PMC article.
Natural language processing (NLP) research combines the study of universal principles, through basic science, with applied science targeting specific use cases and settings. ...We describe a new paradigm of Translational NLP, which aims to structure and facilitate t …
Natural language processing (NLP) research combines the study of universal principles, through basic science, with applied science ta …
4,419 results

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