Decision support for insulin regime prescription based on a neural-network approach

Medical Informatics

Volumn 21, Issue 1, 1996, Pages 23-34

  Ambrosiadou, B V ^a   Gogou, G ^a   Maglaveras, N ^a   Pappas, C ^a  

^a ARISTOTLE UNIVERSITY OF THESSALONIKI   (Greece)

Author keywords

Decision support; Diabetes; Neural network

Indexed keywords

INSULIN;

ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; DECISION MAKING; DIABETES MELLITUS; HUMAN; PRESCRIPTION;

EID: 80052044465     PISSN: 03077640     EISSN: None     Source Type: Journal    
DOI: 10.3109/14639239609009008     Document Type: Article

References (17)

1. AMBROSIADOU, V., ALEVIZOS, M. and ZIAKAS, G. (1993) Decision support in diabetes management for optimal glycaemic control. IEEE Proceedings on Systems Management and Cybernetics, Systems Engineering in the Service of Humans, Decision Making, 5, 391-397.
2. AMBROSIADOU, V. (1990) DIABETES: An expert system for education in diabetes management. Expert System Applications (London: Sigma Press), pp. 227-238.
3. CHANOCH, L. H., JOVANOVIC, L. and PETERSON, C. M. (1985) The evaluation of a pocket computer as an aid to insulin dose determination by patients. Diabetes Care, 8, 172-176.
4. LEHMANN, E. D. and DEUTSCH, T. (1993) AIDA: A MK II automated insulin dosage advisor. Journal of Biomedical Engineering, 15, 201-242.
5. SCHNEIDER, J., PIWERNETZ, K., ENGELBRECHT, R. and RENNER, R. (1988) DIACONS - A consultation system to assist in the management of diabetes; DIAMON - An expert system to assist in the therapy of diabetes. Expert Systems and Decision Support in Medicine (Heidelberg : Springer), pp. 44-49, p. 575.
6. PERMICK, N. and RODBURD D. (1986) Personal computer programs to assist with home monitoring of blood glucose and self-adjustment of insulin dosage. Diabetes Care, 9, 61-69.
7. SANO, A. (1986) Adaptive and optimal schemes for control of blood glucose levels. Biomedical Measurement and Information Control, 1, 16-22.
8. GOGOU, G., AMBROSIADOU, B. V., GOULIS, D. G. and PAPPAS, C. (1995) Decision support for insulin regime prescription based on a neural network approach, in Proceedings on Computer Aided Assessment of the Diabetic Patient. 1st National Symposium, Cluj-Napoca, Romania.
9. MILLER, A. S., BLOTT, B. H. and HAMES, T. K. (1992) Review of neural network applications in medical imaging and signal processing. Medical & Biological Engineering & Computing, 30, 449-464.
10. POLI, R., GAGNOTI, S., LIVI, R., GOPPINI, G. and VALI, G. (1991) A neural network expert system for diagnosing and treating hypertension. IEEE Computer, 24(3), 64-71.
11. STRINTZIS, M., MAGNISALIS, X., STALIDIS, G. and MAGLAVERAS, N. (1992) Use of neural networks for electrocardiogram (ECG) feature extraction recognition and classification. Neural Network World Journal, 3(4), 313-327.
12. MAGLAVERAS, N., STAMKOPOULOS, T., PAPPAS, C. and STRINTZIS, M. (1994) Use of neural networks in detection of ischemic episodes from ECG leads. In J. Vloutzos, J. Hwang, E. Wilson (eds) Neural Networks for Signal Processing IV, (New York, IEEE Press), pp. 518-524.
13. LAKATOS, G., CARSON, E. R. and BENYO, Z. (1992) Artificial neural network approach to diabetic management. Proceedings of the Annual International Conference of the IEEE, EMBS, pp. 1010-1011.
14. WASSERMAN, P. D. (1989) Neural Computing Theory and Practice (New York, USA: Van Nostrand Reinhold).
15. HUSSH, D. R. and HORNE, B. G. (1993) Progress in supervised neural networks. What's new since Lippmann? IEEE Signal Processing Magazine, 10, 1-39.
16. STAMKOPOULOS, T., STRINTZIS, M., PAPPAS, C. and MAGLAVERAS, N. (1992) One-lead ischemia detection using a new back propagation algorithm and the European ST-T database. Computers in Cardiology (IEEE Computer Society Press), pp. 663-666.
17. ++ (London, Academic Press).