EHRSHOT releases the weights and code of a 141M-parameter foundation model pretrained on 2.57 million deidentified EHRs from Stanford Hospital.
Access
Additional Details
The foundation model is based on the CLMBR architecture (Steinberg et al. 2021), which uses a next token prediction task to learn representations for patients.
For more information, please read the original EHRSHOT paper.
Questions?
For questions and feedback, please open an Issue on Github
This line is from ./layouts/_default/single.html.