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Update README.md

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  ---
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  model-index:
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  - name: Bio-ClinicalBERT_vascular_classification
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- results: []
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  <!-- This model card has been generated automatically according to the information Keras had access to. You should
 
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  ---
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  model-index:
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  - name: Bio-ClinicalBERT_vascular_classification
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+ results:
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+ - task:
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+ type: text-classification
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+ name: Vascular vs. Non-Vascular Classification
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+ dataset:
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+ name: Clinical EHR Dataset
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+ type: medical
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+ metrics:
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+ - name: Accuracy
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+ type: accuracy
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+ value: 0.94
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+ - name: Precision (Vascular)
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+ type: precision
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+ value: 0.88
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+ - name: Recall (Vascular)
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+ type: recall
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+ value: 0.70
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+ - name: F1-Score (Vascular)
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+ type: f1
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+ value: 0.78
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+ - name: Precision (Non-Vascular)
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+ type: precision
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+ value: 0.95
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+ - name: Recall (Non-Vascular)
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+ type: recall
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+ value: 0.98
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+ - name: F1-Score (Non-Vascular)
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+ type: f1
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+ value: 0.96
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  ---
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  <!-- This model card has been generated automatically according to the information Keras had access to. You should