Published July 9, 2019 | Version v1
Journal article Open

Data files for aer2vec: Distributed Representations of Adverse Event Reporting Data

Authors/Creators

  • 1. University of Washington

Contributors

Description

These data files provide the means to reproduce the key results from our paper:

aer2vec: Distributed Representations of Adverse Event Reporting System Data as a Means to Identify Drug/Side-Effect Associations. Portanova, J. Murray, N. Mower, J. Subramanian, D. Cohen, T. AMIA 2019.

For the code, please visit https://github.com/treversec/aer2vec.git

 

Files

Files (3.4 GB)

Name Size
md5:247f43724a64919945d807805ff435ad
147.8 MB Download
md5:7f37feaa28ded229515d20c6c687d531
512.8 MB Download
md5:31f1316c7ec29145b2879b80ea8a4c44
2.8 GB Download

Additional details

Funding

National Institutes of Health
Using Biomedical Knowledge to Identify Plausible Signals for Pharmacovigilance 5R01LM011563-02

References

  • aer2vec: Distributed Representations of Adverse Event Reporting System Data as a Means to Identify Drug/Side-Effect Associations. Portanova, J. Murray, N. Mower, J. Subramanian, D. Cohen, T. AMIA 2019.