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  license: apache-2.0
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- ## RadBERT-RoBERTa-4m
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- This is a base model of Radiology-BERT models from UC San Diego and VA healthcare system. It is initialized from BERT-base-uncased and further trained with 2 million radiology reports deidentified from US VA hospital. The model achieves stronger medical language understanding performance than previous medical domain models such as BioBERT, Clinical-BERT, BLUE-BERT and BioMed-RoBERTa.
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  Performances are evaluated on three tasks:
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  (a) abnormal sentence classification: sentence classification in radiology reports as reporting abnormal or normal findings;
 
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  license: apache-2.0
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+ ## RadBERT-2m
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+ This is a base model of Radiology-BERT from UC San Diego and VA healthcare system. It is initialized from BERT-base-uncased and further trained with 2 million radiology reports deidentified from US VA hospital. The model achieves stronger medical language understanding performance than previous medical domain models such as BioBERT, Clinical-BERT, BLUE-BERT and BioMed-RoBERTa.
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  Performances are evaluated on three tasks:
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  (a) abnormal sentence classification: sentence classification in radiology reports as reporting abnormal or normal findings;