This invention describes a computer-based method for accurately measuring a patient's physiological condition using a sensing device. It creates a personalized calibration model for the patient based on their past data and current conditions, which is then used to adjust the raw signals from the sensor for a more precise measurement. The claims narrow this to a system that automatically sends these precise measurements to an infusion pump, which then adjusts drug delivery to the patient.
Why it matters: Filed before the latest advancements in personalized machine learning models for healthcare data. The ability to robustly build and deploy patient-specific predictive models has improved, making the core calibration method more feasible and accurate.
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