Using mobile phones for people with diabetes: Mobile Intensive Insulinotherapy Using Artificial Intelligence Techniques
Accurate projections of short-term insulin can be managed on mobiles by having users enter exercise, current glucose level, and intended carbohydrates inputs. An integral factor is active feedback based on glucose testing within the next several hours so that the system can "adjust" itself to each user. A patient with increased insulin sensitivity will require less insulin, even given the same inputs. A patient with increased insulin resistance will need more insulin. This will differ in individuals and with one person over time. Given similar inputs and insulin sensitivity/resistance, two insulin-dependent diabetics will require different insulin amounts based upon mass [1].
This projects aims to provide a more accurate projection of insulin requirements by taking account of exercise, current glucose level, intended carbohydrate intake, and period of the day through a series of inputs. It will benefit patients by reducing inconvenience of mental calculations; providing increased accuracy with use, therefore offering greater peace of mind; promoting patient empowerment to improve patient well-being. Diabetes presents unique issues for children and teens [2]. Things that most children take for granted such as going to a birthday party, playing sports, or staying overnight with friends need careful planning. As a result, young people with diabetes can feel 'different' from their peers. Sophisticated insulin control software on a phone may alleviate some of this pressure.
The anticipated outcomes relate to the development of a framework to assist in accurate projections of insulin to inject.
References
[1] Kevin Curran, Eric Nichols, Ermai Xie, Roy Harper. An Intensive Insulinotherapy Mobile Phone Application built on Artificial Intelligence Techniques Journal of Diabetes Science and Technology. Vol. 4, No. 1, pp: 209-220, Autumn 2009, ISSN:1932-2968
[2] Venessa Peña, Alice J. Watson, Joseph C. Kvedar, Richard W. Grant Mobile Phone Technology for Children with Type 1 and Type 2 Diabetes: A Parent Survey. Journal of Diabetes Science and Technology, November 2009, Volume 3, Issue 6: Page 1481-1489
Personnel Involved
First Supervisor: Curran, K Dr
Second Supervisor: Lunney, T Dr
Third Supervisor: Woods, D Mr
Collaboration: This project does not involve collaboration with another establishment