Research use of the AIDA www.2aida.org diabetes software simulation program: A review - Part 2. Generating simulated blood glucose data for prototype validation

Diabetes Technology and Therapeutics

Volumn 5, Issue 4, 2003, Pages 641-651

  Lehmann, Eldon D ^a,b,c  

^a ST BARTHOLOMEW S HOSPITAL   (United Kingdom)

^b ROYAL BROMPTON HOSPITAL   (United Kingdom)

^c Development Team   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

INSULIN;

COMPUTER PROGRAM; COMPUTER SIMULATION; DIABETES MELLITUS; DISEASE MODEL; DRUG DELIVERY SYSTEM; GLUCOSE BLOOD LEVEL; HEALTH PROGRAM; INTERNET; INTERPERSONAL COMMUNICATION; LABORATORY TEST; MEDICAL EDUCATION; MEDICAL INFORMATICS; MEDICAL INFORMATION; MEDICAL RESEARCH; ONLINE SYSTEM; PRIORITY JOURNAL; REVIEW;

BLOOD GLUCOSE; COMPUTER SIMULATION; DIABETES MELLITUS; HUMANS; INTERNET; MONITORING, PHYSIOLOGIC; REPRODUCIBILITY OF RESULTS; RESEARCH; SOFTWARE;

EID: 0037965592     PISSN: 15209156     EISSN: None     Source Type: Journal    
DOI: 10.1089/152091503322250668     Document Type: Review

References (38)

1. Lehmann ED: Research use of the AIDA www.2aida.org diabetes software simulation program: a review - Part 1. Decision support testing and neural network training. Diabetes Technol Ther 2003;5:425-438.
2. Menzies T, Sinsel E: Practical large scale what-if queries: case studies with software risk assessment. In: 15th IEEE International Conference on Automated Software Engineering, September 11-15, 2000, Grenoble, France. New Brunswick, NJ: Institute of Electrical and Electronics Engineers, 2000;165-173.
3. Owens CL, Doyle FJ III: Performance monitoring of closed-loop insulin delivery devices [abstract]. Diabetes Technol Ther 2002;4:228.
4. Bergman RN: Toward physiological understanding of glucose tolerance. Minimal-model approach. Diabetes 1989;38:1512-1527.
5. Lehmann ED, Deutsch T: A physiological model of glucose-insulin interaction in type I diabetes mellitus. J Biomed Eng 1992;14:235-242.
6. Doyle FJ III, Owens CL: Model based performance monitoring of diabetic patient systems [abstract]. In: Proceedings of the American Institute of Chemical Engineers, Annual Meeting. New York: American Institute of Chemical Engineers, 2001.
7. Parker RS, Doyle FJ III, Peppas NA: A model-based algorithm for blood glucose control in type I diabetic patients. IEEE t-BME 1999;46:148-157.
8. Conmy P: A business plan utilizing telehealth technology within the home [MSc thesis]. San Francisco State University, San Francisco, 1999.
9. Lehmann ED, Hermanyi I, Deutsch T: Retrospective validation of a physiological model of glucose-insulin interaction in type 1 diabetes mellitus. Med Eng Phys 1994;16:193-202. [Published erratum appears in Med Eng Phys 1994;16:351-352.]
10. Lehmann ED, Deutsch T: Computer assisted diabetes care: a 6 year retrospective. Comput Methods Programs Biomed 1996;50:209-230.
11. Lehmann ED, Deutsch T: Compartmental models for glycaemic prediction and decision-support in clinical diabetes care: promise and reality. Comput Methods Programs Biomed 1998;56:193-204.
12. Lehmann ED, Deutsch T: Application of computers in diabetes care - a review. I. Computers for data collection and interpretation. Med Inf (Lond) 1995;20:281-302.
13. Lehmann ED, Deutsch T: Application of computers in diabetes care - a review. II. Computers for decision support and education. Med Inf (Lond) 1995;20:303-329.
14. Lehmann ED, ed.: Special issue: Application of information technology in clinical diabetes care. Part 1. Databases, algorithms and decision support. Med Inf (Lond) 1996;21:255-378.
15. Lehmann ED, ed.: Special issue: Application of information technology in clinical diabetes care. Part 2. Models and education. Med Inf (Lond) 1997;22:1-120.
16. Lehmann ED: Computer-based diagnostic systems [letter]. N Engl J Med 1994;331:1023.
17. Yates T, Fletcher LR: Prediction of a glucose appearance function from foods as investigated in the Lehmann/Deutsch model of glucose insulin interaction [abstract]. In: Computers in Diabetes 96. Graz, Austria: DOIT/AIME, 1996;29.
18. Yates TL: Forcing function for blood glucose-insulin models [MSc dissertation]. University of Liverpool, Liverpool, UK, 1995.
19. Yates TL, Fletcher LR: Prediction of a glucose appearance function from foods using deconvolution. IMA J Math Applied Med Biol 2000;17:169-184.
20. Cobelli C, Nucci G, Del Prato S: A physiological simulation model of the glucose-insulin system in type 1 diabetes [abstract]. Diabetes Nutr Metab 1998;11:78.
21. 13C nuclear magnetic resonance spectroscopy and regulation of glucose homeostasis after a mixed meal in normal subjects. J Clin Invest 1996;97:126-132.
22. Cobelli C, Caumo A: Using what is accessible to measure that which is not: necessity of model of system. Metabolism 1998;47:1009-1035.
23. Torlone E, Pampanelli S, Lalli C, Del Sindaco P, Di Vincenzo A, Rambotti AM, Modarelli F, Epifano L, Kassi G, Perriello G, Brunetti P, Bolli G: Effects of the short-acting insulin analog [Lys(B28),Pro(B29)] on postprandial blood glucose control in IDDM. Diabetes Care 1996;19:945-952.
24. Cobelli C, Nucci G, Del Prato S: A physiological simulation model of the glucose-insulin system. In: Proceedings of the First Joint IEEE BMES/EMBS Conference Serving Humanity, Advancing Technology, Vol. 1. New Brunswick, NJ: Institute of Electrical and Electronics Engineers, 1999;999.
25. Butler RA: Mathematical modelling, simulation and forecasting of insulin dependent diabetes. In: Proceedings of the 3rd International Conference SATERRA. Mittweida, Germany: Hochschule für Technik und Wirtschaft Mittweida, 1997;81-88.
26. Escreet A: Dietary aid for diabetics [dissertation]. Staffordshire University, UK, 1999.
27. Lehmann ED, DeWolf DK, Novotny CA, Gotwals Jr RR, Rohrbach RP, Blanchard SM: Dynamic interactive educational diabetes simulations using the World Wide Web [abstract]. Diabetes Technol Ther 2001;3:A17-A20.
28. Lehmann ED: Usage of a diabetes simulation system for education via the Internet [letter]. Int J Med Inf 2003;69:63-69.
29. 2: a Mk. II automated insulin dosage advisor. J Biomed Eng 1993;15:201-211.
30. Lehmann ED: Application of computers in clinical diabetes care. Diabetes Nutr Metab 1997;10:45-59.
31. Biermann E: Comment on Lehmann and Tatti: proposed controlled trial on simulators in diabetes education [letter]. Diabetes Technol Ther 2002;4:255-257.
32. Lehmann ED, Tatti P: Randomized controlled trial design for simulator use in diabetes education: some issues for consideration [letter]. Diabetes Technol Ther 2002;4:258-269.
33. Tatti P, Lehmann ED: A randomised-controlled clinical trial methodology for evaluating the teaching utility of interactive educational diabetes simulators. Diabetes Nutr Metab 2001;14:1-17.
34. Tatti P, Lehmann ED: Preliminary results from a randomised controlled clinical trial for evaluating the teaching utility of an interactive educational diabetes simulator (AIDA) [abstract]. Diabetes 2001;50(Suppl 2):A25.
35. Tatti P, Lehmann ED: A prospective randomised-controlled pilot study for evaluating the teaching utility of interactive educational diabetes simulators. Diabetes Nutr Metab 2003;16:7-23.
36. Tatti P, Lehmann ED: Utility of the AIDA diabetes simulator as an interactive educational teaching tool for general practitioners (primary care physicians). Diabetes Technol Ther 2001;3:133-140.
37. Lehmann ED, Tatti P: Questionnaires for a randomized controlled trial methodology to evaluate the teaching utility of diabetes simulation programs. Diabetes Technol Ther 2001;3:293-305.
38. Lehmann ED: Usage of the www.2aida.org AIDA diabetes software Website: a pilot study. Diabetes Technol Ther 2003;5:75-89.