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  <!-- Provide a quick summary of what the model is/does. -->
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  This model card describes the ClinicalBERT model, which was trained on a large multicenter dataset with a large corpus of 1.2B words of diverse diseases we constructed.
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- We then utilized a large-scale corpus of EHRs from over 3 million pediatric outpatient records to fine tune the base language model.
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  ## Pretraining Data
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  <!-- Provide a quick summary of what the model is/does. -->
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  This model card describes the ClinicalBERT model, which was trained on a large multicenter dataset with a large corpus of 1.2B words of diverse diseases we constructed.
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+ We then utilized a large-scale corpus of EHRs from over 3 million patient records to fine tune the base language model.
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  ## Pretraining Data
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