chrisvoncsefalvay
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README.md
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license: apache-2.0
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---
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---
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license: apache-2.0
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datasets:
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- chrisvoncsefalvay/vaers-outcomes
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language:
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- en
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metrics:
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- accuracy
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- f1
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- precision
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- recall
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library_name: transformers
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pipeline_tag: text-classification
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tags:
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- medical
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- pharmacovigilance
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- vaccines
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DAEDRA (Detecting Adverse Event Dispositions for Regulatory Affairs) is a pharmacovigilance language model intended to facilitate the rapid identification and extraction of high-consequence outcomes from passive pharmacovigilance reporting. It was trained on the VAERS data set, and focuses on three main outcomes:
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* mortality (VAERS `DIED` flag);
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* emergency room attendance (`ER_VISIT`); and
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* hospitalisation (`HOSPITAL`).
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