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I read your paper and it's an interesting approach. I'm more interested in the applications to clinical text - assigning ICD codes for medical documents. Specifically, I am attempting to reproduce the results on the MIMIC dataset. I have already setup the system for this dataset using the code provided by Mullenbach et al., 2018.
I went through your code - is there a pipeline to try this model on the MIMIC3 dataset and also produce visualizations for learnt attention across documents?
Looking forward to hearing from you.
Best,
Vijay
The text was updated successfully, but these errors were encountered:
All the building blocks are already available in author's tensorflow code in this repo. The thing you want to do is just to write something similar to main_multilabel.py and a corresponding data-preprocessing.
Hi,
I read your paper and it's an interesting approach. I'm more interested in the applications to clinical text - assigning ICD codes for medical documents. Specifically, I am attempting to reproduce the results on the MIMIC dataset. I have already setup the system for this dataset using the code provided by Mullenbach et al., 2018.
I went through your code - is there a pipeline to try this model on the MIMIC3 dataset and also produce visualizations for learnt attention across documents?
Looking forward to hearing from you.
Best,
Vijay
The text was updated successfully, but these errors were encountered: