Clinical Natural Language Processing in languages other than English: opportunities and challenges-Reference-Cited by-同舟云学术

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Clinical Natural Language Processing in languages other than English: opportunities and challenges

Published:2018-03-30 Issue:1 Volume:9 Page:
ISSN:2041-1480
Container-title:Journal of Biomedical Semantics
language:en
Short-container-title:J Biomed Semant

Author:

Névéol Aurélie,Dalianis Hercules,Velupillai Sumithra,Savova Guergana,Zweigenbaum Pierre

Funder

ANR

National Institutes of Health

Swedish Research Council

Marie Sklodowska Curie Actions

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Health Informatics,Computer Science Applications,Information Systems

Link

http://link.springer.com/content/pdf/10.1186/s13326-018-0179-8.pdf

Reference167 articles.

1. Emdin C, Odutayo A, Hsiao A, Shakir M, Hopewell S, Rahimi K, Altman D. Association between randomised trial evidence and global burden of disease: cross sectional study (Epidemiological Study Of Randomized Trials–ESORT). BMJ. 2015; 350:117.

2. Dudley J, Deshpande T, Butte A. Exploiting drug-disease relationships for computational drug repositioning. Brief Bioinform. 2011; 12(4):303–11.

3. Wren J. The emerging in-silico scientist: how text-based bioinformatics is bridging biology and artificial intelligence. IEEE Eng Med Biol Mag. 2004; 23(2):87–93.

4. Demner-Fushman D, Chapman WW, McDonald CJ. What can natural language processing do for clinical decision support?J Biomed Inform. 2009; 42:760–772.

5. Altman R. Artificial intelligence (AI) systems for interpreting complex medical data sets. Clin Pharmacol Ther. 2017.

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