参考文献 [ 1 ]　Wang Yan,Ma Lizhuang, Liu Ping. Feature Selection and Syndrome Prediction for Liver Cirrhosis in Traditional Chinese Medicine [ J ]. Computer Methods and Programs in Biomedicine,2009,95(3):249-257. [ 2 ]　Peng Jing, Tang Changjie, Yang Dongqing, et al. Similarity Computing Model of High Dimension Data for Symptom Classification of Chinese Traditional Medicine [J]. Applied Soft Computing,2009,9(1):209-218. [ 3 ]　Zhou X H,Li S L,Tian Feng,et al. Building a Disease Risk Model of Osteoporosis Based on Traditional Chinese Medicine Symptoms and Western Medicine Risk Factors [J]. Statistics in Medicine,2012,31(7):643-652. [ 4 ]　Shao Huan,Li Guozheng. Symptom Selection for Multilabel Data of Inquiry Diagnosis in Traditional Chinese Medicine [ J ]. Science China Information Sciences, 2011,41(11):1372-1387. [ 5 ]　Yang J,Honavar V. Feature Subset Selection Using a Genetic Alogorithm [J]. IEEE Intelligent Systems and Their Applications,1998,13(2):44-49. [ 6 ]　Meiri R, Zahavi J. Using Simulated Annealing to Optimize the Feature Selection Problem in Marketing Applications [ J ]. European Journal of Operational Research,2006,171(3):842-858. [ 7 ]　Dréo J, Siarry P. Continuous Interacting Ant Colony Alogorithm Based on Dense Heterarchy [ J ]. Future Generation Computer Systems,2004,20(5):841-856. [ 8 ]　You Mingyu,Liu Jiaming,Li Guozheng,et al. Embedded Feature Selection for Multi-label Classification of Music Emotions [ J ]. International Journal of Computational Intelligence Systems,2012,5(4):668-678. [ 9 ]　葛　雷,李国正,尤鸣宇. 多标记学习的嵌入式特征选择[ J ]. 南京大学学报: 自然科学,2009,45 (5): 671-676. (下转第22 页) (上接第18 页) [10]　Tsoumakas G,Katakis I. Multi-label Classification: An Overview[J]. International Journal of Data Warehousing and Mining,2007,3(3):1-13. [11]　Zhang Minling, Zhou Zhihua. ML-KNN: A Lazy Learning Approach to Multi-label Learning[J]. Pattern Recognition,2007,40(7):2038-2048. [12]　Read J,Pfahringer B,Holmes G,et al. Classifier Chains for Multi-label Classification [ J ]. Machine Learning, 2011,85(3):333-359. [13]　Tsoumakas G,Katakis I,Vlahavas L. Random k-labelsets for Multilabel Classification [J ]. IEEE Transactions on Knowledge and Data Engineering,2011,23(7):1079-1089. [14]　Liu Guoping,Li Guozheng,Wang Yalei,et al. Modelling of Inquiry Diagnosis of Coronary Heart Disease in Traditional Chinese Medicine by Using Multi-label Learning [ J ]. BMC Complementary and Alternative Medicine,2010,10(1):10-37. [15]　Boutell M R,Luo Jiebo, Shen Xipeng, et al. Learning Multi-label Scene Classification[J]. Pattern Recognition, 2004,37(9):1757-1771. 编辑　任吉慧 18