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README.md

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+# Hybrid Readmission Classifier
+
+## Model Description
+This is a hybrid model combining:
+- **Text embeddings**: Extracted from emilyalsentzer/Bio_ClinicalBERT
+- **Structured features**: Patient demographics and admission details
+- **Classifier**: LightGBM gradient boosting
+
+## Performance
+- ROC-AUC: 0.6602
+- AUPRC: 0.3334
+- Accuracy: 0.6386
+- F1-Score: 0.3871
+
+## Model Artifacts
+- `lgbm_model.txt`: LightGBM model
+- `scaler_combined.pkl`: StandardScaler for combined features
+- `scaler_struct.pkl`: StandardScaler for structured features
+- `label_encoders.pkl`: Label encoders for categorical features
+- `metadata.json`: Model metadata
+
+## Usage
+```python
+import joblib
+import numpy as np
+from transformers import AutoTokenizer, AutoModel
+
+# Load components
+lgbm_model = joblib.load('lgbm_model.txt')
+scaler = joblib.load('scaler_combined.pkl')
+tokenizer = AutoTokenizer.from_pretrained('emilyalsentzer/Bio_ClinicalBERT')
+embedding_model = AutoModel.from_pretrained('emilyalsentzer/Bio_ClinicalBERT')
+
+# Extract embeddings
+embeddings = embedding_model(tokenizer(text)['input_ids'])
+
+# Combine with structured features and predict
+X = np.hstack([embeddings, structured_features])
+X_scaled = scaler.transform(X)
+predictions = lgbm_model.predict(X_scaled)
+```
+
+## License
+MIT

label_encoders.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:4787788a49fd683cfca16eddd1dae6c543c53d2c650daaa8291776676775536d
+size 1431

metadata.json

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+{
+  "model_type": "hybrid_classifier",
+  "description": "Hybrid model combining ClinicalBERT embeddings + structured features with LightGBM",
+  "embedding_model": "emilyalsentzer/Bio_ClinicalBERT",
+  "embedding_dim": 768,
+  "structured_features": [
+    "insurance",
+    "admission_type",
+    "admission_location",
+    "age"
+  ],
+  "max_seq_length": 512,
+  "metrics": {
+    "roc_auc": 0.6602300974779907,
+    "auprc": 0.3334125955302034,
+    "accuracy": 0.638584487090394,
+    "f1_score": 0.38711870552508726
+  },
+  "created_with": "hybrid.py"
+}

scaler_combined.pkl

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+size 19103

scaler_struct.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:e64c9022301dc233f3100af19fe478925153e0f25bd7bc3813c85a91a871d3ae
+size 671