Evolved fuzzy reasoning model for hypoglycaemic detection
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H. T. Nguyen | S. H. Ling | Nuryani | S. Ling | Nuryani | H. Nguyen
[1] E. H. Mamdani,et al. An Experiment in Linguistic Synthesis with a Fuzzy Logic Controller , 1999, Int. J. Man Mach. Stud..
[2] Bernard Widrow,et al. 30 years of adaptive neural networks: perceptron, Madaline, and backpropagation , 1990, Proc. IEEE.
[3] H. Nguyen,et al. Detection of nocturnal hypoglycemic episodes (natural occurrence) in children with Type 1 diabetes using an optimal Bayesian neural network algorithm , 2008, 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
[4] Alan J. Lee,et al. Linear Regression Analysis: Seber/Linear , 2003 .
[5] Hung T. Nguyen,et al. Intelligent technologies for real-time biomedical engineering applications , 2008, Int. J. Autom. Control..
[6] J. Zeitlhofer,et al. Monitoring set-up for selection of parameters for detection of hypoglycaemia in diabetic patients , 2007, Medical and Biological Engineering and Computing.
[7] Adverse Events and Their Association With Treatment Regimens in the Diabetes Control and Complications Trial , 1995, Diabetes Care.
[8] John Pickup. Sensitive glucose sensing in diabetes , 2000, The Lancet.
[9] D. Altman,et al. Statistics Notes: Diagnostic tests 1: sensitivity and specificity , 1994 .
[10] George A. F. Seber,et al. Linear regression analysis , 1977 .
[11] E. Mizutani,et al. Neuro-Fuzzy and Soft Computing-A Computational Approach to Learning and Machine Intelligence [Book Review] , 1997, IEEE Transactions on Automatic Control.
[12] Hak-Keung Lam,et al. Hybrid Particle Swarm Optimization With Wavelet Mutation and Its Industrial Applications , 2008, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).