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| from typing import Any, Dict, List | |
| def apply_rules( | |
| patient_context: Dict[str, Any], | |
| model_output: Dict[str, Any], | |
| ) -> Dict[str, Any]: | |
| """ | |
| Simple rule set over ECG model outputs. | |
| """ | |
| label = model_output.get("label") | |
| score = float(model_output.get("score", 0.0)) | |
| hr = model_output.get("hr") | |
| hr_int = int(hr) if hr is not None else None | |
| explanations: List[str] = [] | |
| alert_level = "none" | |
| age = patient_context.get("age") | |
| has_prior_stroke = bool(patient_context.get("has_prior_stroke")) | |
| # Arrhythmia label with high confidence | |
| arrhythmia_labels = {"arrhythmia", "suspected_afib", "afib"} | |
| if label in arrhythmia_labels and score >= 0.85: | |
| alert_level = "escalate" | |
| explanations.append("High-confidence arrhythmia detected.") | |
| elif label in arrhythmia_labels and score >= 0.6: | |
| alert_level = "notify" | |
| explanations.append("Arrhythmia suspected; monitor closely.") | |
| # Heart rate based thresholds | |
| if hr_int is not None: | |
| if hr_int >= 140: | |
| alert_level = "escalate" | |
| explanations.append("Severe tachycardia (hr >= 140).") | |
| elif hr_int >= 120 and alert_level == "none": | |
| alert_level = "notify" | |
| explanations.append("Tachycardia (hr >= 120).") | |
| # Patient risk factors escalate one level | |
| if has_prior_stroke and alert_level != "none": | |
| alert_level = "escalate" | |
| explanations.append("Prior stroke history: escalate.") | |
| elif has_prior_stroke and alert_level == "none": | |
| alert_level = "notify" | |
| explanations.append("Prior stroke history: monitor closely.") | |
| if isinstance(age, int) and age >= 75 and alert_level == "notify": | |
| alert_level = "escalate" | |
| explanations.append("Age >= 75 with concerning signal: escalate.") | |
| # If no triggers, add baseline explanation | |
| if not explanations: | |
| explanations.append("No rule-based alerts triggered.") | |
| return {"alert_level": alert_level, "explanations": explanations} | |