Method, system, and computer program product for the processing of self-monitoring blood glucose(smbg)data to enhance diabetic self-management

Patent №

US 8,538,703

Granted

2013-09-17

Filed 2005

Owner

UNIVERSITY OF VIRGINIA

+1 more

Lab

AI components

2

ml · planning

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

10524094

A method, system, and computer program product related to the maintenance of optimal control of diabetes, and is directed to predicting the long-term exposure to hyperglycemia, and the long-term and short-term risks of severe or moderate hypoglycemia in diabetics, based on blood blucose readings collected by a self-monitoring blood glucose device. The method, system, and computer program product pertain directly to the enhancement of existing home blood glucose monitoring devices, by introducing an intelligent data interpretation component capable of predicting both HbA1c and periods of increased risk of hypoglycemia, and to the enhancement of emerging continuous monitoring devices by the same features. With these predictions the diabetic can take steps to prevent the adverse consequences associated with hyperglycemia and hypoglycemia.

Machine learningPlanningA61B 5/7275A61B 5/14532A61B 5/14546G16H 50/50G16H 10/60

AI classification

Planning0.95
Machine learning0.93
AI hardware0.25
Knowledge representation0.16
Vision0.00
Speech0.00
Evolutionary computation0.00
Natural language0.00

Ownership

UNIVERSITY OF VIRGINIA

assignment · 162070094

UNIVERSITY OF VIRGINIA PATENT FOUNDATION

assignment · 163030479

Assignors

KOVATCHEV, BORIS P., COX, DANIEL J.

On an employer assignment, the assignors are typically the inventors.

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