Recommendation System: A Contribution to Glycaemia Excursion Identification

The aim of the paper is to present a proposal of new information content of a decision support system that would support diabetes management, in particular at patient side. The ultimate goal in diabetes treatment is to achieve normoglycaemia. Therefore any tools and technologies that can help control the glucose level better are desirable. In this respect more information about daily activities of the patients, their food intake and energy output can definitely contribute to this task. Mobile technologies offer many functionalities that can be advantageously used. However, it is necessary to identify the data and information that should be collected. The intended applications must be motivating and unobtrusive. We briefly review current mobile applications showing their advantages and disadvantages. Finally we discuss the features and functionalities of the proposed system for more individualized diabetes management.

[1]  A Sola-Gazagnes,et al.  Emergent technologies applied to diabetes: what do we need to integrate continuous glucose monitoring into daily practice? Where the long-term use of continuous glucose monitoring stands in 2011. , 2011, Diabetes & metabolism.

[2]  Janet M. Allen,et al.  Day and Night Closed-Loop Control in Adults With Type 1 Diabetes , 2013, Diabetes Care.

[3]  A. Recupero,et al.  Emerging technology in diabetes care: the real-time diabetes monitoring system. , 2013, Military medicine.

[4]  Preeti Chhabra,et al.  Stem Cell Therapy to Cure Type 1 Diabetes: From Hype to Hope , 2013, Stem cells translational medicine.

[5]  Elizabeth J Elliott,et al.  Low glycaemic index, or low glycaemic load, diets for diabetes mellitus. , 2009, The Cochrane database of systematic reviews.

[6]  Lee M Ritterband,et al.  Mobile Intervention Design in Diabetes: Review and Recommendations , 2011, Current diabetes reports.

[7]  Marios Anthimopoulos,et al.  A Food Recognition System for Diabetic Patients Based on an Optimized Bag-of-Features Model , 2014, IEEE Journal of Biomedical and Health Informatics.

[8]  P Schaepelynck,et al.  Advances in pump technology: insulin patch pumps, combined pumps and glucose sensors, and implanted pumps. , 2011, Diabetes & metabolism.

[9]  Robert A. Vigersky,et al.  Mobile Phone-Based Video Messages for Diabetes Self-Care Support , 2012, Journal of diabetes science and technology.

[10]  Roman Hovorka,et al.  Closed-loop insulin delivery in type 1 diabetes. , 2012, Endocrinology and metabolism clinics of North America.

[11]  J. Pickup,et al.  Insulin-pump therapy for type 1 diabetes mellitus. , 2012, The New England journal of medicine.

[12]  P. Timsina,et al.  Mobile Applications for Diabetes Self-Management: Status and Potential , 2013, Journal of diabetes science and technology.

[13]  N. Jeandidier,et al.  How technology has changed diabetes management and what it has failed to achieve. , 2011, Diabetes & metabolism.

[14]  B W Bode,et al.  Advanced Technologies and Treatments for Diabetes Continuous glucose monitoring , 2010 .