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license: mit
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license: mit
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# Intro
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This model was built on Microsoft's BERT trained on PubMed uncased database (`microsoft/BiomedNLP-PubMedBERT-base-uncased-abstract-fulltext`). I have extracted > 400 radiology reports for staging nasopharyngeal carcinoma (NPC). To focus on NPC, incidental findings and unrelated observations are removed.
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A tokenizer was trained based on the original PubMed version, and the radiology reports were used to fine tune the PubMedBert.
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