Allergic Events Detection using Deep Learning

Introduction

This is the code of our hierarchal attention neural network to automatically identify allergic events from hospital safety reports.

This code was deeply integrated with the protected clinical data, so this is the core implementation of our model.

Requirement

Python: 3.7  
PyTorch: 1.0 

Citation

If you use this code in your papers, please cite our paper at JAMA Network Open Development and validation of a deep learning model for detection of allergic reactions using safety event reports across hospitals:

@article{yang2020development,
title={Development and validation of a deep learning model for detection of allergic reactions using safety event reports across hospitals},
author={Yang, Jie and Wang, Liqin and Phadke, Neelam A and Wickner, Paige G and Mancini, Christian M and Blumenthal, Kimberly G and Zhou, Li},
journal={JAMA network open},
volume={3},
number={11},
pages={e2022836--e2022836},
year={2020},
publisher={American Medical Association}
}

Update

• 2020-02-19: core implementation