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  example_title: >-
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  Non-sample example: simulated informal patient narrative (ER attendance,
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  albeit unconnected)
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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- # DAEDRA:
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  This model is a fine-tuned version of [dmis-lab/biobert-base-cased-v1.2](https://huggingface.co/dmis-lab/biobert-base-cased-v1.2) trained on the [VAERS adversome outcomes data set](https://huggingface.com/datasets/chrisvoncsefalvay/vaers-outcomes).
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  example_title: >-
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  Non-sample example: simulated informal patient narrative (ER attendance,
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  albeit unconnected)
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+ model-index:
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+ - name: daedra
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+ results:
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+ - task:
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+ type: text-classification
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+ dataset:
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+ type: vaers-outcomes
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+ name: vaers-outcomes
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+ metrics:
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+ - name: accuracy
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+ type: accuracy
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+ value: 0.885
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+ verified: false
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  ---
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+ # DAEDRA: Determining Adverse Event Disposition for Regulatory Affairs
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  This model is a fine-tuned version of [dmis-lab/biobert-base-cased-v1.2](https://huggingface.co/dmis-lab/biobert-base-cased-v1.2) trained on the [VAERS adversome outcomes data set](https://huggingface.com/datasets/chrisvoncsefalvay/vaers-outcomes).
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