Discovering associations between adverse drug events using pattern structures and ontologies-Reference-Cited by-同舟云学术

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Discovering associations between adverse drug events using pattern structures and ontologies

Published:2017-08-22 Issue:1 Volume:8 Page:
ISSN:2041-1480
Container-title:Journal of Biomedical Semantics
language:en
Short-container-title:J Biomed Semant

Author:

Personeni Gabin^ORCID,Bresso Emmanuel,Devignes Marie-Dominique,Dumontier Michel,Smaïl-Tabbone Malika,Coulet Adrien

Funder

Agence Nationale de la Recherche

Snowflake Inria Associate Team

France-Stanford Center for Interdisciplinary Studies

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/s13326-017-0137-x.pdf

Reference21 articles.

1. LePendu P, Iyer SV, Bauer-Mehren A, Harpaz R, Mortensen JM, Podchiyska T, Ferris TA, Shah NH. Pharmacovigilance using clinical notes. Clin Pharmacol Ther. 2013; 93(6):547–55.

2. Sakaeda T, Tamon A, Kadoyama K, Okuno Y. Data mining of the public version of the fda adverse event reporting system. Int J Med Sci. 2013; 10(7):796–803.

3. Roitmann E, Eriksson R, Brunak S. Patient stratification and identification of adverse event correlations in the space of 1190 drug related adverse events. Front Physiol. 2014; 5:332.

4. Devignes MD, Benabderrahmane S, Smaïl-Tabbone M, Napoli A, Poch O. Int J Comput Biol Drug Design. 2012; 5(3-4):245–60.

5. Winnenburg R, Sorbello A, Bodenreider O. Exploring adverse drug events at the class level. J Biomed Semant. 2015; 6(1):18. doi: 10.1186/s13326-015-0017-1 .

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3. Applying Artificial Intelligence in Structured Real-World Data for Pharmacovigilance Purposes: A Systematic Literature Review (Preprint);2024-02-28

4. Use of Electronic Health Record Data for Drug Safety Signal Identification: A Scoping Review;Drug Safety;2023-06-20

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