Literature DB >> 8187465

AIDA: an interactive diabetes advisor.

E D Lehmann1, T Deutsch, E R Carson, P H Sönksen.   

Abstract

AIDA is a prototype computer system that incorporates a model of glucose-insulin interaction in type I diabetes mellitus alongside a knowledge-based system to make glycaemic predictions and to generate insulin dosage adjustment advice. The model attempts to reflect the underlying (patho)physiology of insulin action and carbohydrate absorption in quantitative terms. The prototype is intended to be used as a decision support system by clinical personnel in the context of day-to-day management of insulin-dependent diabetic patients. It is designed for use during consultations, as a simulator of patient response following changed insulin and dietary regimen and as a system for providing education on planning insulin therapy. Joe Daniels is a 41-year-old, 70-kg, male insulin-dependent diabetic patient who was diagnosed as being diabetic in 1972, at the age of 22. Joe recently found that he was having hypoglycaemic symptoms. Using self-monitoring blood glucose equipment, glycaemic levels below 3.0 mmol/l were recorded at least once a week, while hyperglycaemic readings (> 16 mmol/l) were observed two to three times per week. Joe came into hospital to have his glycaemic control improved, as doctors were concerned about the risks of him suffering a serious hypoglycaemic attack. Using some of the data collected by Joe while in hospital, we will demonstrate how AIDA might be applied either in a clinical setting to provide therapeutic advice or in an educational setting to interactively teach diabetic patients about their diabetes and educate them to adjust their own insulin injections and diet.

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Year:  1994        PMID: 8187465     DOI: 10.1016/0169-2607(94)90054-x

Source DB:  PubMed          Journal:  Comput Methods Programs Biomed        ISSN: 0169-2607            Impact factor:   5.428


  8 in total

1.  A Web-based architecture for the intelligent management of chronic patients.

Authors:  A Riva
Journal:  Proc AMIA Annu Fall Symp       Date:  1996

2.  Development of a clinical type 1 diabetes metabolic system model and in silico simulation tool.

Authors:  Xing-Wei Wong; J Geoffrey Chase; Christopher E Hann; Thomas F Lotz; Jessica Lin; Aaron J Le; Geoffrey M Shaw
Journal:  J Diabetes Sci Technol       Date:  2008-05

3.  Historical data enhances safety supervision system performance in T1DM insulin therapy risk management.

Authors:  Colleen Hughes-Karvetski; Stephen D Patek; Marc D Breton; Boris P Kovatchev
Journal:  Comput Methods Programs Biomed       Date:  2012-02-17       Impact factor: 5.428

4.  Knowledge-based temporal abstraction for diabetic monitoring.

Authors:  Y Shahar; A K Das; S W Tu; F B Kraemer; M A Musen
Journal:  Proc Annu Symp Comput Appl Med Care       Date:  1994

5.  Incorporating a generic model of subcutaneous insulin absorption into the AIDA v4 diabetes simulator. 3. Early plasma insulin determinations.

Authors:  Eldon D Lehmann; Cristina Tarín; Jorge Bondia; Edgar Teufel; Tibor Deutsch
Journal:  J Diabetes Sci Technol       Date:  2009-01

6.  Dynamic Interactive Educational Diabetes Simulations Using the World Wide Web: An Experience of More Than 15 Years with AIDA Online.

Authors:  Eldon D Lehmann; Dennis K Dewolf; Christopher A Novotny; Karen Reed; Robert R Gotwals
Journal:  Int J Endocrinol       Date:  2014-01-06       Impact factor: 3.257

7.  Validation of a hemoglobin A1c model in patients with type 1 and type 2 diabetes and its use to go beyond the averaged relationship of hemoglobin A1c and mean glucose level.

Authors:  Piotr Ladyzynski; Piotr Foltynski; Marianna I Bak; Stanislawa Sabalinska; Janusz Krzymien; Jerzy Kawiak
Journal:  J Transl Med       Date:  2014-12-10       Impact factor: 5.531

Review 8.  Artificial Intelligence in Decision Support Systems for Type 1 Diabetes.

Authors:  Nichole S Tyler; Peter G Jacobs
Journal:  Sensors (Basel)       Date:  2020-06-05       Impact factor: 3.576

  8 in total

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