whaleloops
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README.md
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license: apache-2.0
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---
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KEPTlongfomer
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And then pretrained with Hierarchical Self-Alignment Pretrainumls (HSAP) using Knowledge Graph UMLS.
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This includes (a) Hierarchy, (b) Synonym, (c) Abbreviation. For more info, see section 3.3 in [paper](https://arxiv.org/pdf/2210.03304.pdf).
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With the following result:
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| Metric | Score |
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|acc_macro| =0.08639139221100567|
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A sister model is available [here](https://huggingface.co/whaleloops/KEPTlongformer-PMM3/).
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license: apache-2.0
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language: "en"
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tags:
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- longformer
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- clinical
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- biomedical
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<span style="font-size:larger;">**KEPTlongfomer**</span> is a medical knowledge enhanced version of Longformer that was further pre-trained using [contrastive learning](https://arxiv.org/pdf/2210.03304.pdf).
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The model achieves SOTA performance on auto ICD coding on MIMIC-III as of 11/12/2022.
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A sister model for better performance is available [here](https://huggingface.co/whaleloops/KEPTlongformer-PMM3/).
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### Pre-training
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We initialized this model from [clinical longformer](https://huggingface.co/yikuan8/Clinical-Longformer).
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And then pretrained with Hierarchical Self-Alignment Pretrain (HSAP) using Knowledge Graph UMLS.
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This includes (a) Hierarchy, (b) Synonym, (c) Abbreviation. For more info, see section 3.3 in [paper](https://arxiv.org/pdf/2210.03304.pdf).
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The learning rate was 5e-5, weight decay was 0.01, adam epsilon was 1e-5.
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### Usage
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See our [github](https://github.com/whaleloops/KEPT/tree/rerank300) for how to use this with prompts on auto ICD coding.
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With the following result:
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| Metric | Score |
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|acc_macro| =0.08639139221100567|
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