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+ ---
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+ license: apache-2.0
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+ tags:
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+ - tabular-regression
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+ - ehr
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+ - transformer
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+ - medical
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+ model_name: audit-icu-gpt2-25_3M
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+ ---
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+ # audit-icu-gpt2-131_6M
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+
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+ This repo contains the model weights for audit-icu-gpt2-131_6M, a tabular language model built on the gpt2 architecture
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+ for evaluating the cross-entropy of Epic EHR audit log event sequences. This model was originally designed to
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+ calculate cross-entropies but can also be used for generation.
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+
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+ The code to train and perform inference this model is available [here](https://github.com/bcwarner/audit-log-lm).
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+ More details about how to use this model can be found there.
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+
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+ # Model Details
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+
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+ More details can be found in the model card of our paper in Appendix B [here](https://arxiv.org/abs/2311.06401).
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+
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+ Please cite our paper if you use this model in your work:
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+ ```
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+
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+ @misc{warner2023autoregressive,
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+ title={Autoregressive Language Models For Estimating the Entropy of Epic EHR Audit Logs},
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+ author={Benjamin C. Warner and Thomas Kannampallil and Seunghwan Kim},
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+ year={2023},
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+ eprint={2311.06401},
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+ archivePrefix={arXiv},
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+ primaryClass={cs.CL}
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+ }
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+
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+ ```