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1from inference import MedicalCodingPredictor
2
3# Initialize predictor
4predictor = MedicalCodingPredictor()
5
6# Predict codes from clinical note
7clinical_note = "Patient presents with chest pain and elevated cardiac enzymes..."
8predictions = predictor.predict(clinical_note, threshold=0.5)
9
10for pred in predictions:
11 print(f"Code: {pred['code']}")
12 print(f"Type: {pred['type']}")
13 print(f"Description: {pred['description']}")
14 print(f"Confidence: {pred['confidence']:.3f}")1{
2 "code": "I25.111",
3 "type": "ICD-10-CM",
4 "description": "CODE DESCRIPTION",
5 "confidence": 0.85,
6 "f1_score": 0.82
7}pytorch_model.bin: Model weightsconfig.json: Model configurationcode_to_idx.json: Code to index mappingidx_to_code.json: Index to code mappingcode_descriptions.json: Code descriptionscode_f1_scores.json: Per-code F1 scoresinference.py: Inference scriptrequirements.txt: Dependencies