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@@ -37,6 +37,12 @@ This model is intended for educational and demonstrational purposes only. It tak
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  To use this model, you must load the feature extractor (`Bio_ClinicalBERT`), the LightGBM classifier, and the label encoder.
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  ```python
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  import torch
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  import joblib
 
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  To use this model, you must load the feature extractor (`Bio_ClinicalBERT`), the LightGBM classifier, and the label encoder.
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+ ## Training Data
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+ This model was trained on the gretelai/symptom_to_diagnosis dataset, which contains ~1000 symptom descriptions across 22 balanced classes.
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+ ## Evaluation
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+ The model achieves a Macro F1-score of 0.834 and an Accuracy of 0.835 on the test set.
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  ```python
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  import torch
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  import joblib