Research use of the AIDA www.2aida.org diabetes software simulation program: a review-part 1. decision support testing and neural network training.

The purpose of this two-part review is to overview research use of the AIDA diabetes software simulator. AIDA is a diabetes computer program that permits the interactive simulation of plasma insulin and blood glucose profiles for teaching, demonstration, and self-learning purposes. It has been made freely available, without charge, on the Internet as a noncommercial contribution to continuing diabetes education. Since its launch in 1996 over 300,000 visits have been logged at the main AIDA Website-www.2aida.org-and over 60,000 copies of the AIDA program have been downloaded free-of-charge. This review describes research projects and ventures, undertaken for the most part by other research workers in the diabetes computing field, that have made use of the freeware AIDA software. Relevant research work was identified in three main ways: (i) by personal (e-mail/written) communications from researchers, (ii) via the ISI Web of Science citation database to identify published articles that referred to AIDA-related papers, and (iii) via searches on the Internet. In a number of cases research students who had sought advice about AIDA, and diabetes computing in general, provided copies of their research dissertations/theses upon the completion of their projects. The two reviews highlight some of the many and varied research projects that have made use of the AIDA diabetes simulation software to date. A wide variety of diabetes computing topics have been addressed. In Part 1 of the review, these range from testing decision support prototypes to training artificial neural networks. In Part 2 of the review, issues surrounding dietary assessments, developing new diabetes models, and performance monitoring of closed-loop insulin delivery devices are considered. Overall, research projects making use of AIDA have been identified in Australia, Italy, South Korea, the United Kingdom, and the United States. These reviews confirm an unexpected but useful benefit of distributing medical software, like AIDA, for free via the Internet-demonstrating how it is possible to have a synergistic benefit with other researchers-facilitating their own research projects in related medical fields. The reviews highlight a variety of these projects that have benefited from the free availability of the AIDA diabetes software simulator. In a number of cases these other research projects simply would not have been possible without unrestricted access to the AIDA software and/or technical descriptions of its workings. In addition, some specific common themes begin to emerge from the research ventures that have been reviewed. These include the use of simulated blood glucose data from the AIDA program for preliminary computerlab-based testing of other decision support prototypes. Issues surrounding such use of simulated data for separate prototype testing are discussed further in Part 2 of the review.

[1]  Alberto Riva,et al.  Protocol-based reasoning in diabetic patient management , 1999, Int. J. Medical Informatics.

[2]  R Bellazzi,et al.  A distributed system for diabetic patient management. , 1998, Computer methods and programs in biomedicine.

[3]  E D Lehmann,et al.  Preliminary experience with the Internet release of AIDA--an interactive educational diabetes simulator. , 1998, Computer methods and programs in biomedicine.

[4]  Giuseppe De Nicolao,et al.  Adaptive controllers for intelligent monitoring , 1995, Artif. Intell. Medicine.

[5]  Riccardo Bellazzi,et al.  Qualitative models and fuzzy systems: an integrated approach for learning from data , 1998, Artif. Intell. Medicine.

[6]  E. Lehmann,et al.  Use of the AIDA diabetes simulation software--www.2aida.org--as an interactive educational tool for teaching student nurses. , 2001, Diabetes technology & therapeutics.

[7]  E D Lehmann,et al.  Interactive educational simulators in diabetes care. , 1997, Medical informatics = Medecine et informatique.

[8]  J. Elman Distributed representations, simple recurrent networks, and grammatical structure , 1991, Machine Learning.

[9]  Riccardo Bellazzi,et al.  How to improve fuzzy-neural system modeling by means of qualitative simulation , 2000, IEEE Trans. Neural Networks Learn. Syst..

[10]  D Rodbard,et al.  Computer Simulation of Plasma Insulin and Glucose Dynamics After Subcutaneous Insulin Injection , 1989, Diabetes Care.

[11]  Riccardo Bellazzi,et al.  Learning from Data Through the Integration of Qualitative Models and Fuzzy Systems , 1997, AIME.

[12]  W. A. Sandham,et al.  Neural network and neuro-fuzzy systems for improving diabetes therapy , 1998, Proceedings of the 20th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Vol.20 Biomedical Engineering Towards the Year 2000 and Beyond (Cat. No.98CH36286).

[13]  E D Lehmann The freeware AIDA interactive educational diabetes simulator--http://www.2aida.org--(1). A download survey for AIDA v4.0. , 2001, Medical science monitor : international medical journal of experimental and clinical research.

[14]  T. Deutsch,et al.  A Physiological Model Of Glucose-insulin Interaction , 1991, Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society Volume 13: 1991.

[15]  Patrizio Tatti,et al.  Using the AIDA--www.2aida.org--diabetes simulator. Part 1: recommended guidelines for health-carers planning to teach with the software. , 2002, Diabetes technology & therapeutics.

[16]  Eldon D Lehmann,et al.  Research use of the AIDA www.2aida.org diabetes software simulation program: a review--part 2. Generating simulated blood glucose data for prototype validation. , 2003, Diabetes technology & therapeutics.

[17]  E. Lehmann Simulating glycosylated haemoglobin ( HbA 1 c ) levels , 2001 .

[18]  William Sandham,et al.  Blood glucose prediction for diabetes therapy using a recurrent artificial neural network , 1998, 9th European Signal Processing Conference (EUSIPCO 1998).

[19]  E D Lehmann,et al.  Utility of the AIDA diabetes simulator as an interactive educational teaching tool for general practitioners (primary care physicians). , 2001, Diabetes technology & therapeutics.

[20]  Dan W. Patterson,et al.  Artificial Neural Networks: Theory and Applications , 1998 .

[21]  D. Lehmann,et al.  The freeware AIDA interactive educational diabetes simulator , 2001 .