Literature DB >> 2335180

KADIS--a computer-aided decision support system for improving the management of type-I diabetes.

A Rutscher1, E Salzsieder, U Thierbach, U Fischer, G Albrecht.   

Abstract

Despite the introduction of new therapeutic aids such as insulin pumps and injectors, blood glucose test tapes, particular insulin formulations, and the physiological basis-bolus principle of insulin dosage regimes, the metabolic care of most insulin-dependent patients is still insufficient. One potential tool of further improving the results in diabetes treatment consists in the application of computer-aided procedures to estimate individually optimal regimes. Employing a validated mathematical model of the glucose/insulin metabolic control system and individual sets of data from patients' self-monitoring, a software package was developed on a micro-computer which allowed both the retrospective analysis of data resulting from the therapeutic process, and the prospective simulation of the outcome of alterations in the regime in terms of glycaemia and insulinaemia. The two parts of the programme provide either for the patient or for the physician an interactive mode of working with the computer. The system is now being validated by means of a long-term follow-up study in type-I diabetic patients. It may be used mainly in diabetic outpatient centers and as a tool of educating, training, and motivating patients.

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Year:  1990        PMID: 2335180     DOI: 10.1055/s-0029-1210946

Source DB:  PubMed          Journal:  Exp Clin Endocrinol        ISSN: 0232-7384


  6 in total

1.  Telemedicine-based KADIS combined with CGMS has high potential for improving outpatient diabetes care.

Authors:  Eckhard Salzsieder; Petra Augstein; Lutz Vogt; Klaus-Dieter Kohnert; Peter Heinke; Ernst-Joachim Freyse; Abdel Azim Ahmed; Zakia Metwali; Iman Salman; Omer Attef
Journal:  J Diabetes Sci Technol       Date:  2007-07

2.  Translation of personalized decision support into routine diabetes care.

Authors:  Petra Augstein; Lutz Vogt; Klaus-Dieter Kohnert; Peter Heinke; Eckhard Salzsieder
Journal:  J Diabetes Sci Technol       Date:  2010-11-01

3.  Identification of intraday metabolic profiles during closed-loop glucose control in individuals with type 1 diabetes.

Authors:  Sami S Kanderian; Stu Weinzimer; Gayane Voskanyan; Garry M Steil
Journal:  J Diabetes Sci Technol       Date:  2009-09-01

4.  Diabetes: Models, Signals, and Control.

Authors:  Claudio Cobelli; Chiara Dalla Man; Giovanni Sparacino; Lalo Magni; Giuseppe De Nicolao; Boris P Kovatchev
Journal:  IEEE Rev Biomed Eng       Date:  2009-01-01

5.  The Karlsburg Diabetes Management System: translation from research to eHealth application.

Authors:  Eckhard Salzsieder; Petra Augstein
Journal:  J Diabetes Sci Technol       Date:  2011-01-01

Review 6.  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

  6 in total

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