A bibliometric analysis of natural language processing in medical research-Reference-Cited by-同舟云学术

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A bibliometric analysis of natural language processing in medical research

Published:2018-03 Issue:S1 Volume:18 Page:
ISSN:1472-6947
Container-title:BMC Medical Informatics and Decision Making
language:en
Short-container-title:BMC Med Inform Decis Mak

Author:

Chen Xieling,Xie Haoran,Wang Fu Lee,Liu Ziqing,Xu Juan,Hao Tianyong

Publisher

Springer Science and Business Media LLC

Subject

Health Informatics,Health Policy,Computer Science Applications

Link

http://link.springer.com/content/pdf/10.1186/s12911-018-0594-x.pdf

Reference72 articles.

1. Cambria E, White B. Jumping NLP curves: a review of natural language processing research. IEEE Comput Intell Mag. 2014;9(2):48–57.

2. Liddy ED. Natural language processing. In: Encyclopedia of Library and Information Science. New York: 2nd ed; 2001. p. 2126–36.

3. Batet M, Sánchez D, Valls A. An ontology-based measure to compute semantic similarity in biomedicine. J Biomed Inform. 2011;44(1):118–25.

4. Meystre S, Automation HPJ. Of a problem list using natural language processing. BMC medical informatics and decision making. 2005;5(1):30.

5. Wang PW, Hao TY, Jin LW, Yan J. Large-Scale Extraction of drug-disease pairs from biomedical literature for drug repurposing. Journal of the Association for Information Science and Technology. 2017;68(11):2649–61.

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