Diabetes onset and progression prediction using a computerized model

Abstract

The disclosed computerized system and method facilitates predicting the onset of diabetes or symptom progression in those patients already suffering from the disease. The computerized system and method applies steps to segment the population by predefined member characteristics. Once segmented, the computerized system and method applies a plurality of prediction models to the segmented population data to provide a ranking of members of the population that indicates the likelihood of onset or progression of diabetes for each member.

Description

CROSS-REFERENCE TO RELATED APPLICATIONS[0001]This application claims priority to US Provisional Patent Application Ser. No. 62 / 079,962, filed Nov. 14, 2014, the contents of which is incorporated herein by reference.[0002]BACKGROUND AND SUMMARY OF THE INVENTION[0003]The world health organization estimates that the incidence of diabetes in the United States will almost double during the time period of 2000-2030. The Centers for Disease Control and Prevention estimated that in 2010 there were 26 million people in the United States that had diabetes with greater than 25 percent of that number being undiagnosed. The National Diabetes Information Clearinghouse has estimated that diabetes costs in the United States are $132 billion a year.[0004]As noted above, it has been estimated that greater than 25 percent of those with diabetes in the United States are unaware of their condition. Patients who are unaware of their diabetes are at greater risk for a worsening of the disease or other hea...

AI Technical Summary

Benefits of technology

[0006]More aggressive monitoring may help to detect the onset of diabetes while increased levels of care may prevent that onset. For persons who already have diabetes symptoms, increased levels of care may prevent the disease from progressing to more severe stages. In eithe

Problems solved by technology

Patients who are unaware of their diabetes are at greater risk for a worsening of the disease or other health conditions and complications that arise as the result of the failure to treat their undetected diabetes.

In addition to greater health risks as the result of failure to treat their diabetic condition, a worsening of a patient's condition may markedly increase their cost of care.

Additionally, w

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