Predictive Analytics: Model Validation & Deployment Checklist
A pragmatic checklist for validating predictive models and safely integrating them into clinical workflows.
Checklist items: 1) Data reproducibility and split-sample validation, 2) Performance metrics and calibration checks, 3) Bias and fairness screening, 4) Integration readiness (latency, explainability), 5) Clinical workflow pilot plan, and 6) Post-deployment monitoring metrics and alert thresholds.
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