UTOPIA: A consultation system for visit-by-visit diabetes management

References

• Lehmann E. D., Deutsch T. Application of computers in diabetes care—a review. I. Computers for data collection and interpretation. Medical Informatics 1995; 20: 281–302
   PubMed Web of Science ®Google Scholar
• Zimmet P., Lang A., Mazze R. S., Endersbee R. Computer based patient monitoring systems. Use in research and clinical practice. Diabetes Care 1988; 11 (Suppl. 1): 62–66
   Google Scholar
• Piwernetz K. R. Camit: a new diabetes data management system. Diabetes News 1988; 9: 10–12
   Google Scholar
• Del Pozo F., Gomez E., Arredondo M. T. A telemedicine approach to diabetes management. Diabetes Nutrition, and Metabolism 1991; 4 (Suppl. 1): 149–153
   Google Scholar
• Riva A., Bellazzi R. High level control strategies for diabetes therapy. Lecture Notes in Medical Informatics, P. Barahona, M. Stefanelli, J. Wyatt. Springer Verlag, Berlin 1995; 185–196
   Google Scholar
• Bellazzi R., Siviero C., Stefanelli M., De Nicolao G. Adaptive controllers for intelligent monitoring. Artificial Intelligence in Medicine 1995; 7: 515–540
   PubMed Web of Science ®Google Scholar
• Deutsch T., Carson E. R., Harvey F. E., Lehmann E. D., Sönksen P. H., Tamas G., Whitney G., Williams C. D. Computer assisted diabetic management: a complex approach. Computer Methods and Programs in Biomedicine 1990; 32: 195–214
   PubMedGoogle Scholar
• Deutsch T., Lehmann E. D., Carson E. R., Sönksen P. H. Rules and models for insulin dosage adjustment. Diabetes Nutrition and Metabolism 1991; 4 (Suppl. 1): 159–162
   Google Scholar
• Lehmann E. D., Deutsch T., Roudsari A. V., Carson E. R., Benn J. J., Sönksen P. H. An integrated approach for the computer assisted treatment of diabetic patients on insulin. Medical Informatics 1992; 17: 105–123
   PubMed Web of Science ®Google Scholar
• Deutsch T., Lehmann E. D., Carson E. R., Roudsari A. V., Hopkins K. D., Sönksen P. H. Time series analysis and control of blood glucose levels in diabetic patients. Computer Methods and Programs in Biomedicine 1994; 41: 167–182
   PubMed Web of Science ®Google Scholar
• Roudsari A. V., Deutsch T., Leicester H. J., Carson E. R. Intelligent analysis of diabetic blood glucose levels using time series approaches. 2nd IF AC Symposium on Modelling and Control in Biomedical Systems, B.W. Patterson. Omnipress, Madison 1994; 386–387
   Google Scholar
• Sönksen P. H., Williams C. D., Morrish N., Bateman S., Carey S., Harvey F. E., McAughtry H., Till S., Mozakka N. Data management and expert systems for outpatient diabetes care. 16 years experience with Diabeta. Hormone and Metabolic Research 1990; 24 (Suppl.): 104–109
   Google Scholar
• Harvey A. C. Forecasting, Structural Time Series Models and the Kalman Filter. Cambridge University Press, Cambridge 1989
   Google Scholar
• Berger M. P., Rodbard D. A pharmacodynamic approach to optimising insulin therapy. Computer Methods and Programs in Biomedicine 1991; 34: 241–253
   PubMed Web of Science ®Google Scholar
• Kahn M. G., Abrams C. A., Orland M. J., Beard J. C., Cousins S. B., Miller J. P., Santiago J. V. Intelligent computer-based interpretation and graphical presentation of self-monitored blood glucose and insulin data. Diabetes Nutrition and Metabolism 1991; 4 (Suppl. 1): 99–107
   Google Scholar
• Berger M. P., Gelfand R. A., Miller P. L. Combining statistical, rule based, and physiologic model based methods to assist in the management of diabetes mellitus. Computers and Biomedical Research 1990; 23: 346–357
   PubMedGoogle Scholar
• Mazze R. S., Lucido D., Langer O., Hartmann K., Rodbard D. Ambulatory-glucose profile: Representation of verified self-monitored blood glucose. Diabetes Care 1987; 10: 111–117
   PubMed Web of Science ®Google Scholar
• The Diabetes Control and Complication Trial Research Group. The effect of intensive treatment of diabetes on the development and progression of long-term complications in insulin-dependent diabetes mellitus. New England Journal of Medicine 1993; 329: 977–986
   PubMed Web of Science ®Google Scholar
• Shimauchi T., Kugai N., Nagata N., Takatani I. Microcomputer-aided insulin dosage determination in intensified conventional insulin therapy. IEEE Transactions on Biomedical Engineering 1988; 35: 167–171
   PubMed Web of Science ®Google Scholar
• Hauser T., Chisholm D. J., Campbell L. V., Compton P., Kraegen E. W. A diabetes simulator expert system. Diabetes Nutrition and Metabolism 1991; 4 (Suppl. 1): 127–130
   Google Scholar
• Deutsch T., Carson E. R., Ludwig E. Dealing with Medical Knowledge: Computers in Clinical Decision Making. Plenum, New York 1994
   Google Scholar
• Lehmann E. D., Deutsch T. Application of computers in diabetes care—a review. II. Computers for decision support and education. Medical Informatics 1995; 20: 303–329
   PubMed Web of Science ®Google Scholar
• Skyler J., Skyler D., Seigler D., Sullivan M. O. Algorithms for adjustment of insulin dosage by patients who monitor blood glucose. Diabetes Care 1981; 4: 311–318
   PubMed Web of Science ®Google Scholar
• Albisser A. M. Intelligent instrumentation in diabetic management. Critical Review in Biomedical Engineering 1989; 17: 1–24
   PubMed Web of Science ®Google Scholar
• Hovorka R., Svacina S., Carson E. R., Williams C. D., Sönksen P. H. A consultation system for insulin therapy. Computer Methods and Programs in Biomedicine 1990; 32: 303–310
   PubMed Web of Science ®Google Scholar
• Andreassen S., Benn J. J., Hovorka R., Olesen K. G., Carson E. R. A probabilistic approach to glucose prediction and insulin dose adjustment: description of metabolic model and pilot evaluation study. Computer Methods and Programs in Biomedicine 1994; 41: 153–165
   PubMed Web of Science ®Google Scholar
• Lehmann E. D., Deutsch T. AIDA2: A Mk. II Automated Insulin Dosage Advisor. Journal of Biomedical Engineering 1993; 15: 201–211
   PubMedGoogle Scholar