COMPUTER-IMPLEMENTED METHOD FOR PROVIDING A TUNABLE PERSONALIZED TOOL FOR ESTIMATING GLYCATED HEMOGLOBIN
First Claim
1. A computer-implemented method for providing a tunable personalized tool for estimating glycated hemoglobin, comprising:
- maintaining an electronically-stored history of empirically measured glucose levels for a patient over a set period of time in order of increasing age;
building a predictive model of estimated glycated hemoglobin on a computer workstation, comprising;
designating a decay factor particularized to the patient;
applying the decay factor to each of the measured glucose levels;
scaling the measured glucose levels by a scaling coefficient; and
aggregating and scaling the measured glucose levels as decayed and scaled into an estimate of glycated hemoglobin for the time period; and
displaying the glycated hemoglobin estimate to the patient on the computer workstation.
0 Assignments
0 Petitions
Accused Products
Abstract
A computer-implemented method for providing a tunable personalized tool for estimating glycated hemoglobin is provided. An electronically-stored history of empirically measured glucose levels is maintained for a patient over a set period of time in order of increasing age. A predictive model of estimated glycated hemoglobin is built on a computer workstation. A decay factor is designated particularized to the patient. The decay factor is applied to each of the measured glucose levels. The measured glucose levels is scaled by a scaling coefficient. The measured glucose levels are aggregated and scaled as decayed and scaled into an estimate of glycated hemoglobin for the time period. The glycated hemoglobin estimate is displayed to the patient on the computer workstation.
36 Citations
27 Claims
-
1. A computer-implemented method for providing a tunable personalized tool for estimating glycated hemoglobin, comprising:
-
maintaining an electronically-stored history of empirically measured glucose levels for a patient over a set period of time in order of increasing age; building a predictive model of estimated glycated hemoglobin on a computer workstation, comprising; designating a decay factor particularized to the patient; applying the decay factor to each of the measured glucose levels; scaling the measured glucose levels by a scaling coefficient; and aggregating and scaling the measured glucose levels as decayed and scaled into an estimate of glycated hemoglobin for the time period; and displaying the glycated hemoglobin estimate to the patient on the computer workstation. - View Dependent Claims (2, 3, 4)
-
-
5. A computer-implemented method for providing a tunable personalized tool for estimating glycated hemoglobin, comprising:
-
maintaining an electronically-stored history of empirically measured glucose levels for a patient over a set period of time in order of increasing age; building a predictive model of estimated glycated hemoglobin on a computer workstation, comprising; applying a decay factor to each of the measured glucose levels; designating a scaling coefficient particularized to the patient; scaling the measured glucose levels by the scaling coefficient; and aggregating the measured glucose levels as decayed and scaled into an estimate of glycated hemoglobin for the time period; and displaying the glycated hemoglobin estimate to the patient on the computer workstation. - View Dependent Claims (6, 7, 8)
-
-
9. A computer-implemented method for providing a tunable personalized tool for estimating glycated hemoglobin, comprising:
-
maintaining an electronically-stored history of empirically measured glucose levels for a patient over a set period of time in order of increasing age; weighting each of the empirically measured glucose levels based on a time of day corresponding to a temporal period to which the level can be ascribed; building a predictive model of estimated glycated hemoglobin on a computer workstation, comprising; applying a decay factor to each of the measured and weighted glucose levels; scaling the measured and weighted glucose levels by a scaling coefficient; and aggregating and scaling the measured and weighted glucose levels as decayed and scaled into an estimate of glycated hemoglobin for the time period; and displaying the glycated hemoglobin estimate to the patient on the computer workstation. - View Dependent Claims (10, 11, 12)
-
-
13. A computer-implemented method for creating a tunable personalized tool for estimating a time course of glucose effect for a diabetic patient, comprising:
-
electronically storing a patient history comprising a multiplicity of empirically measured glucose levels for a patient ordered by increasing age; building a predictive model of estimated glycated hemoglobin for the patient on a computer workstation, comprising; defining regular temporal intervals within the patient history; assigning each of the measured glucose levels to the temporal regular interval most closely corresponding to the age of the glucose level; designating an exponential decay factor particularized to the patient; projecting the exponential decay function over a predefined time period within the patient history; adjusting each of the measured glucose levels within the predefined time period by the exponential decay function; and taking a summation of the adjusted measured glucose levels and scaling the summation into an estimate of glycated hemoglobin; and displaying the glycated hemoglobin estimate and the measured glucose levels comprised in the predefined time period on the computer workstation. - View Dependent Claims (14, 15, 16, 17)
-
-
18. A computer-implemented method for creating a tunable personalized tool for estimating a time course of glucose effect for a diabetic patient, comprising:
-
electronically storing a patient history comprising a multiplicity of empirically measured glucose levels for a patient ordered by increasing age; building a predictive model of estimated glycated hemoglobin for the patient on a computer workstation, comprising; defining regular temporal intervals within the patient history; assigning each of the measured glucose levels to the temporal regular interval most closely corresponding to the age of the glucose level; projecting an exponential decay function over a predefined time period within the patient history; adjusting each of the measured glucose levels within the predefined time period by the exponential decay function; designating a scaling coefficient particularized to the patient; and taking a summation of the adjusted measured glucose levels and scaling the summation by the scaling coefficient into an estimate of glycated hemoglobin; and displaying the glycated hemoglobin estimate and the measured glucose levels comprised in the predefined time period on the computer workstation. - View Dependent Claims (19, 20, 21, 22)
-
-
23. A computer-implemented method for creating a tunable personalized tool for estimating a time course of glucose effect for a diabetic patient, comprising:
-
electronically storing a patient history comprising a multiplicity of empirically measured glucose levels for a patient ordered by increasing age; weighting each of the empirically measured glucose levels based on a time of day corresponding to a temporal period to which the level can be ascribed; building a predictive model of estimated glycated hemoglobin for the patient on a computer workstation, comprising; defining regular temporal intervals within the patient history; assigning each of the measured and weighted glucose levels to the temporal regular interval most closely corresponding to the age of the glucose level; projecting an exponential decay function over a predefined time period within the patient history; adjusting each of the measured and weighted glucose levels within the predefined time period by the exponential decay function; and taking a summation of the adjusted measured and weighted glucose levels and scaling the summation into an estimate of glycated hemoglobin; and displaying the glycated hemoglobin estimate and the measured glucose levels comprised in the predefined time period on the computer workstation. - View Dependent Claims (24, 25, 26, 27)
-
Specification