Neural network modeling and control of type 1 diabetes mellitus

Bioprocess and Biosystems Engineering

Volumn 27, Issue 2, 2005, Pages 75-79

  El Jabali, A Karim ^a  

^a ISRA UNIVERSITY   (Jordan)

Author keywords

Diabetes; Glucose; Insulin delivery; Modeling; Neural networks

Indexed keywords

COMPUTER AIDED DIAGNOSIS; COMPUTER SIMULATION; CONTROL EQUIPMENT; DATABASE SYSTEMS; DISEASE CONTROL; GLUCOSE; INSULIN;

INSULIN THERAPY; NEURAL NETWORK MODELING; PANCREAS; TYPE 1 DIABETES MELLITUS;

NEURAL NETWORKS;

GLUCOSE; INSULIN;

ARTICLE; ARTIFICIAL NEURAL NETWORK; COMPUTER SIMULATION; DIABETES CONTROL; DISEASE COURSE; DISEASE SIMULATION; GLUCOSE BLOOD LEVEL; HORMONE TRANSPORT; HUMAN; INSULIN DEPENDENT DIABETES MELLITUS; INSULIN RELEASE; INSULIN TREATMENT; PANCREAS SECRETION; PRIORITY JOURNAL;

ALGORITHMS; BLOOD GLUCOSE; COMPUTER SIMULATION; DIABETES MELLITUS, TYPE 1; DRUG THERAPY, COMPUTER-ASSISTED; FEEDBACK; HUMANS; INSULIN; INSULIN INFUSION SYSTEMS; METABOLIC CLEARANCE RATE; MODELS, BIOLOGICAL; NEURAL NETWORKS (COMPUTER); TREATMENT OUTCOME;

EID: 17744367006     PISSN: 16157591     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00449-004-0363-3     Document Type: Article

References (23)

1. Rubin RJ, Altman WM, Mendelson DN (1994) Health care expenditures for people with diabetes mellitus, 1992. J Clin Endocrinal Metab 78A:809A-809F
2. Shin-Yi W, Sainfort F, Fryback D (1998) Development and application of a model to estimate the impact of type 1 diabetes on health-related quality of life. Diabetes Care 21(5):725-731
3. Javitt JC, Chiang Y (1995) Economic impact of diabetes. In: Diabetes in America, 2nd edn. NIH, Washington, DC
4. Cobelli C, Mari A (1985) Control of diabetes with artificial systems for insulin delivery. IEEE T Bio-Med Eng 32:840-845
5. Brown AB (2001) Individualizing insulin therapy for optimum glycemic control. Patient Care 1:35-47
6. Fisher ME, Teo KL (1989) Optimal insulin infusion resulting from a mathematical model of blood glucose dynamics. IEEE T Bio-Med Eng 36:479-487
7. Doyle FJ, Dorski C, Peppas NA (1995) Control and modeling of drug delivery devices for treatment of diabetes. In: Proc Am Control Conf, Seattle, WA, 22-23 June 1995, pp 776-780
8. Jang SR (1997) Neuro-fuzzy and soft-computing. Prentice Hall, Upper Saddle River, NJ
9. Levin AU, Narendra KS (1995) Identification using feed-forward networks. Neural Comput 7:349-357
10. Yen G, Meesad P (2001) Constructing a fuzzy rule-based system using the ILFN network and genetic algorithm. Int J Neural Syst 11(5):427-443
11. Cho S, Shin M (2001) Neural network based automatic diagnosis of children with brain dysfunction. Int J Neural Syst 11(4):361-369
12. Leonard BL, Evans R (2000) Differential neural control of internal blood flow. Am J Physiol 279(3):R907-916
13. Prank K, Jurgens C, Muhlen A, Brabant G (1998) Predictive neural networks for learning the time course of blood glucose levels. Neural Comput 10(4):941-953
14. Tresp V, Moody J, Delong WR (1994) Neural network modeling of physiological processes. In: Hanson SJ, Petsche T, Kearns M, Rivest RL (eds) Computational learning theory and natural learning systems 2. MIT Press, Cambridge
15. Pender JE (1997) Modelling of blood glucose levels using artificial neural networks. Dissertation, University of Strathclyde, UK
16. Sandham WA, Nikoletou D, Hamilton DJ, Patterson K, Japp A, MacGregor C (1998) Blood glucose prediction for diabetes therapy using a recurrent artificial neural network. In: Proc EUSIPCO-98, IX European Signal Processing Conf, Rhodes, Greece, 8-11 September 1998, 11:673-676
17. Sandham WA, Hamilton DJ, Japp A, Patterson K (1998) Neural network and neuro-fuzzy systems for improving diabetes therapy. In: Proc 20th Int Conf IEEE Eng Med Biol Soc, Hong Kong, China, 13-16 October 1998, 20(3/6):1438-1441
18. Andreassen S, Benn J, Hovorka R, Olesen K, Carson E (1994) A probabilistic approach to glucose prediction and insulin dose adjustment: description of a metabolic model and pilot evaluation study. Comput Methods Programs Biomed 41:153-163
19. Simon H (1994) Neural networks: a comprehensive foundation. Macmillan, New York
20. Jefferies C (1991) Code recognition and set selection with neural networks. Birkhauser, Boston, MA
21. Kosko B (ed) (1988) Neural networks for signal processing. PhD Dissertation, University of Reading, UK
22. Hassoun MH (1995) Fundamentals of artificial neural networks. MIT, Cambridge, MA
23. Karim El-Jabali A, Kilani A, Abbas M (2002) Dynamic simulation of fuzzy controller of glucose concentration based on patient's clinical database. In: Proc 4th Int Conf on Modeling and Simulation (MS'02), Melbourne, Australia, 11-13 November 2002