Scalable discovery and validation of order-specific electronic health record event trajectories for interpretable adverse-outcome risk estimation
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Objective: Clinicians must estimate patients' risk of adverse outcomes, yet many electronic health record tools represent health history as an unordered "bag of codes," discarding temporal order. Machine learning tools that le... ...
