nwams / clinicalbert-deep-learning--predicting-hospital-readmission-using-transformer Goto Github PK
View Code? Open in Web Editor NEWBlog post on Medium
Blog post on Medium
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!
Hi,
I found we cannot download pre-trained models. Can you upload these again?
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?
Thank you for implementing ClinicalBERT on Transformer. It looks the google drive link you shared for the pre-trained model is no longer working. Could you please check it?
"You can use this google link to download the pre-trained ClinicalBERT model along with the readmission task fine-tuned model weights."
A declarative, efficient, and flexible JavaScript library for building user interfaces.
๐ Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. ๐๐๐
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google โค๏ธ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.