Purnami S W, Embong A, Zain J M, et al. A new smooth support vector machine and its applications in diabetes disease diagnosis[J]. Journal of Computer Science, 2009,5(12):1003-1008.
[2]
Eddy D M, Schlessinger L. Archimedes:a trial-validated model of diabetes[J]. Diabetes Care, 2003,26:3093-3101.
[3]
Kohavi R, John G. Wrappers for feature subset selection[J]. Artificial Intelligence, 1997,97(1/2):273-324.
[4]
叶明德.Ⅱ型糖尿病发病关键属性对血糖变化作用分析研究.北京:北京理工大学信息与电子学院,2010. Ye Mingde. Research on the effects of key attributes of type Ⅱ diabetes on glucose. Beijing:School of Information and Electronics, Beijing Institute of Technology, 2010. (in Chinese)
[5]
纪立农.Ⅱ型糖尿病遗传病因学研究的现状和展望[J].中国医学科学院学报,2006,28(2):278-283. Ji Linong. Status quo and prospects for genetic studies on type Ⅱ diabetes[J]. Acta Academiae Medicinae Sinicae, 2006,28(2):278-283. (in Chinese)
蒋琳,彭黎.基于支持向量机的Ⅱ型糖尿病判别与特征筛选[J].科学技术与工程,2007,7(5):721-726. Jiang Lin, Peng Li. Identification of typeⅡdiabetes and feature filtration based on support vector machine[J]. Science Technology and Engineering, 2007,7(5):721-726. (in Chinese)
[8]
Palmer A, Brandt A, Valerio G, et al. Outline of a diabetes disease management model:principles and applications[J]. Diabetes Research and Clinical Practice, 2000,50(suppl):47-56.
[9]
Brown J B, Russell A, Chan W, et al. The global diabetes model:user friendly version 3.0[J]. Diabetes Research and Clinical Practice, 2000,50(suppl):15-46.
[10]
刘奇才,王凤清,郜峰,等.人工神经网络在糖尿病并发症预测中的应用[J].国际检验医学杂志,2008,29(1):29-35. Liu Qicai, Wang Fengqing, Gao Feng, et al. Application of artificial neural network in diabetic complication prediction[J]. International Journal of Laboratory Medicine, 2008,29(1):29-35. (in Chinese)
[11]
Schlessinger L, Eddy D M. Archimedes:a new model for simulating health care systems-the mathematical formulation[J]. Journal of Biomedical Informatics, 2002,35(1):37-50.
[12]
Eddy D M, Schlessinger L. Validation of the archimedes diabetes model[J]. Diabetes Care, 2003,26:3102-3110.