Emerging Applications for Intelligent Diabetes Management

  • Cindy Marling Ohio University
  • Matthew Wiley University of California, Riverside
  • Razvan Bunescu Ohio University
  • Jay Shubrook Ohion University
  • Frank Schwartz Ohio University

Abstract

Diabetes management is a difficult task for patients, who must monitor and control their blood glucose levels in order to avoid serious diabetic complications. It is a difficult task for physicians, who must manually interpret large volumes of blood glucose data to tailor therapy to the needs of each patient. This paper describes three emerging applications that employ AI to ease this task: (1) case-based decision support for diabetes management; (2) machine learning classification of blood glucose plots; and (3) support vector regression for blood glucose prediction. The first application provides decision support by detecting blood glucose control problems and recommending therapeutic adjustments to correct them. The second provides an automated screen for excessive glycemic variability. The third aims to build a hypoglycemia predictor that could alert patients to dangerously low blood glucose levels in time to take preventive action. All are products of the 4 Diabetes Support SystemTM project, which uses AI to promote the health and wellbeing of people with type 1 diabetes. These emerging applications could potentially benefit 20 million patients who are at risk for devastating complications, thereby improving quality of life and reducing health care cost expenditures.

Author Biographies

Cindy Marling, Ohio University
Assistant professor, Computer Science Department
Matthew Wiley, University of California, Riverside
PhD candidate, Department of Computer Science
Razvan Bunescu, Ohio University
Assistant professor, Department of Computer Science
Jay Shubrook, Ohion University
Associate professor, Department of Family Medicine; director of clinical research, Heritage COllege of Osteopathic Medicine
Frank Schwartz, Ohio University
Professor of endocrinology, Heritage College of Osteopathic Medicine
Published
2012-03-16
Section
Articles