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Home Page: https://medium.com/nwamaka-imasogie/clinicalbert-using-deep-learning-transformer-model-to-predict-hospital-readmission-c82ff0e4bb03

Jupyter Notebook 81.79% Python 18.21%

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clinicalbert-deep-learning--predicting-hospital-readmission-using-transformer's Issues

Pretrain model link

Hi there,

The link for pretrain model at Kexin's Github is expired, and I am wondering if you happen to have a copy of it.

Thanks a lot!

Unpredictable predictions for patient descriptions that are not from the dataset.

Thanks for your awesome work!
I wonder if you tested trained weights on texts that are not in the dataset. Cause I got quite low probability (0.17) for a patient that is old, has chronic diseases and has high chance of readmission. And at the same time, a young men admitting for the first time with cuts has prob 0.34. Have you seen such kind of model behaviour?

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