CLINICIAN PERSPECTIVES AND RECOMMENDATIONS REGARDING DESIGN OF CLINICAL PREDICTION MODELS FOR DETERIORATING PATIENTS IN ACUTE CARE

Clinician perspectives and recommendations regarding design of clinical prediction models for deteriorating patients in acute care

Abstract Background Successful deployment of clinical prediction models for clinical deterioration relates not only to predictive performance but to integration into the decision making process.Models may demonstrate good discrimination and calibration, but fail Rear View Camera to match the needs of practising acute care clinicians who receive, in

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Approximation-Based Event-Triggered Control Against Unknown Injection Data in Full States and Actuator of Uncertain Lower-Triangular Nonlinear Systems

This paper addresses an approximation-based adaptive event-triggered control problem against unknown injection data in full state measurements and an actuator of systems with unknown strict-feedback nonlinearities.It is assumed that full state variables measured for state-feedback control Car Mounts are corrupted by unknown injection data that deno

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