Classification of hypoglycemic episodes for Type 1 diabetes mellitus based on neural networks

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{Chan:2010:cec,

• author = "Kit Yan Chan and Sing Ho Ling and Tharam Singh Dillon and Hung Nguyen",
• title = "Classification of hypoglycemic episodes for Type 1 diabetes mellitus based on neural networks",
• booktitle = "IEEE Congress on Evolutionary Computation (CEC 2010)",
• year = "2010",
• address = "Barcelona, Spain",
• month = "18-23 " # jul,
• publisher = "IEEE Press",
• keywords = "genetic algorithms, genetic programming",
• isbn13 = "978-1-4244-6910-9",
• abstract = "Hypoglycemia is dangerous for Type 1 diabetes mellitus (T1DM) patients. Based on the physiological parameters, we have developed a classification unit with hybridising the approaches of neural networks and genetic algorithm to identify the presences of hypoglycemic episodes for TIDM patients. The proposed classification unit is built and is validated by using the real T1DM patients' data sets collected from Department of Health, Government of Western Australia. Experimental results show that the proposed neural network based classification unit can achieve more accurate results on both trained and unseen T1DM patients' data sets compared with those developed based on the commonly used classification methods for medical diagnosis including statistical regression, fuzzy regression and genetic programming.",
• DOI = "doi:10.1109/CEC.2010.5586320",
• notes = "WCCI 2010. Also known as \cite{5586320}",

}

Genetic Programming entries for Kit Yan Chan Sing Ho Ling Tharam S Dillon Hung Nguyen

Citations