Published March 13, 2022 | Version v1
Software Open

Understanding patient reviews with minimum supervision

Authors/Creators

  • 1. University of Warwick

Description

The code for paper:

Understanding patient reviews with minimum supervision. L Gui, Y He. Artificial Intelligence in Medicine 120, 102160

'read.py': extract the clinical reviews from Yelp dataset, which can be downloaded at: https://www.yelp.com/dataset/download

In 'read.py', you can modify the keywords list in line 34-100 for your task.

Due to the size limitation, we only upload small training and testing samples as 'train' and 'test'. Hence, the performance might be slightly lower than what we reported in our paper.

bibtex: @article{gui2021understanding, title={Understanding patient reviews with minimum supervision}, author={Gui, Lin and He, Yulan}, journal={Artificial Intelligence in Medicine}, volume={120}, pages={102160}, year={2021}, publisher={Elsevier} }

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Additional details

Funding

UK Research and Innovation
Learning from COVID-19: An AI-enabled evidence-driven framework for claim veracity assessment during pandemics EP/V048597/1
UK Research and Innovation
Twenty20Insight EP/T017112/1