UCSD-VA-health
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license: apache-2.0
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## RadBERT-
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This is a base model of Radiology-BERT
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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;
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