Using an Online Disturbance Rejection and Anticipation System to Reduce Hyperglycemia

Abstract

Embodiments relate to systems and methods for informing, determining, or controlling insulin dosage. The method involves generating plural disturbance profiles, each disturbance profile being a data representation based on historical patient data pertaining to a deviation from a threshold blood glucose level. The method involves receiving current patient data. The method involves applying a predictive model so that current patient data is compared to a disturbance profile and a probability analysis is used to assess the likelihood of a disturbance profile being an anticipated disturbance profile, the anticipated disturbance profile being a disturbance profile that is determined to match with the current patient data based on the probability analysis. The method involves determining an insulin dose amount based on the anticipated disturbance profile. The method involves outputting a signal representative of the insulin dose amount to a device configured for monitoring, influencing, and/or administering insulin levels in the patient.

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