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Author Notes:
Email: gragon@pennmedicine.upenn.edu
AM first noted the data use problem, ran the experiments and wrote the initial draft of the manuscript.
AS and AN contributed to some sections and made edits to the manuscript.
GG designed the experiments and wrote the final version of the manuscript.
Conflict of interest statement: None declared.
Subject:
Research Funding:
This work was supported by National Institutes of Health National Library of Medicine grant number 5R01LM011176.
Keywords:
- Science & Technology
- Technology
- Life Sciences & Biomedicine
- Computer Science, Information Systems
- Computer Science, Interdisciplinary Applications
- Health Care Sciences & Services
- Information Science & Library Science
- Medical Informatics
- Computer Science
Comment on: "Deep learning for pharmacovigilance: recurrent neural network architectures for labeling adverse drug reactions in Twitter posts"
Copyright information:
© The Author(s) 2019. Published by Oxford University Press on behalf of the American Medical Informatics Association.
This is an Open Access work distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/).
