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README.md
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The model was trained on the combined maccrobat and i2c2 dataset and is based on biobert. If you use the model kindly cite the paper below:
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<em>
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<b>
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Developing a BioBERT-based Natural Language Processing Algorithm for Acute Myeloid Leukemia Symptoms Identification from Clinical Note - Sena Chae , Pratik Maitra , Padmini Srinivasan
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</b>
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</em>
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### Accuracy
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The model was trained on the combined maccrobat and i2c2 dataset and is based on biobert. If you use the model kindly cite the paper below:
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<em>
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<b>Developing a BioBERT-based Natural Language Processing Algorithm for Acute Myeloid Leukemia Symptoms Identification from Clinical Note - Sena Chae , Pratik Maitra , Padmini Srinivasan</b>
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</em>
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### Accuracy
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