Emerging Applications for Intelligent Diabetes Management

Authors

  • Cindy Marling Ohio University
  • Matthew Wiley Ohio University
  • Razvan Bunescu Ohio University
  • Jay Shubrook Ohio University
  • Frank Schwartz Ohio University

DOI:

https://doi.org/10.1609/aaai.v25i2.18858

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 and shares difficulties encountered in transitioning AI technology from university researchers to patients and physicians

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Published

2011-08-11

How to Cite

Marling, C., Wiley, M. ., Bunescu, R., Shubrook, J., & Schwartz, F. (2011). Emerging Applications for Intelligent Diabetes Management. Proceedings of the AAAI Conference on Artificial Intelligence, 25(2), 1668-1673. https://doi.org/10.1609/aaai.v25i2.18858

Issue

Vol. 25 No. 2 (2011): Twenty-Third Innovative Applications of Artificial Intelligence Conference

Section

IAAI Technical Track: Emerging Papers