The Amalgamation of Machine Learning and LSTM Techniques for Pharmacovigilance-Reference-Cited by-同舟云学术

The Amalgamation of Machine Learning and LSTM Techniques for Pharmacovigilance

Published:2020 Issue: Volume: Page:123-132
ISSN:2367-3370
Container-title:Smart Technologies in Data Science and Communication
language:
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Author:

Sagar Imambi S.,Mandhala Venkata Naresh,Naaz Md. Azma

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-15-2407-3_17

Reference18 articles.

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4. A. Bate, M. Lindquist, I.R. Edwards, S. Olsson, R. Orre, A. Lansner et al., A Bayesian neural network method for adverse drug reaction signal generation. Eur. J. Clin. Pharmacol. 54(4), 315–321 (1998)

5. H. Gurulingappa, A.M. Rajput, A. Roberts, J. Fluck, M.H. Apitius, L. Toldo, Development of a benchmark corpus to support the identification of adverse drug effects from case reports. J. Biomed. Inf. (2012)

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