机构：[1]Department of Big Medical Data, Guangdong Provincial Hospital of ChineseMedicine, The Second Affiliated Hospital of Guangzhou University of ChineseMedicine, Guangzhou, China[2]Department of Control Science andEngineering, Tongji University, Shanghai, China[3]Department of Cardiology,Guangdong Provincial Hospital of Chinese Medicine, The Second AffiliatedHospital of Guangzhou University of Chinese Medicine, Guangzhou, China广东省中医院
Background: Hypertension is one of the major risk factors for cardiovascular diseases. Research on the patient classification of hypertension has become an important topic because Traditional Chinese Medicine lies primarily in "treatment based on syndromes differentiation of the patients". Methods: Clinical data of hypertension was collected with 12 syndromes and 129 symptoms including inspection, tongue, inquiry, and palpation symptoms. Syndromes differentiation was modeled as a patient classification problem in the field of data mining, and a new multi-label learning model BrSmoteSvm was built dealing with the class-imbalanced of the dataset. Results: The experiments showed that the BrSmoteSvm had a better results comparing to other multi-label classifiers in the evaluation criteria of Average precision, Coverage, One-error, Ranking loss. Conclusions: BrSmoteSvm can model the hypertension's syndromes differentiation better considering the imbalanced problem.
基金：
the Natural Science Foundation of China under
grant nos. 61105053 and 61273305. Publication costs for this article were
funded by National Science Foundation of China under grant no. 61273305.
第一作者机构：[1]Department of Big Medical Data, Guangdong Provincial Hospital of ChineseMedicine, The Second Affiliated Hospital of Guangzhou University of ChineseMedicine, Guangzhou, China[2]Department of Control Science andEngineering, Tongji University, Shanghai, China
共同第一作者：
通讯作者：
推荐引用方式(GB/T 7714)：
Li Guo-Zheng,He Zehui,Shao Feng-Feng,et al.Patient classification of hypertension in Traditional Chinese Medicine using multi-label learning techniques[J].BMC MEDICAL GENOMICS.2015,8:doi:10.1186/1755-8794-8-S3-S4.
APA：
Li, Guo-Zheng,He, Zehui,Shao, Feng-Feng,Ou, Ai-Hua&Lin, Xiao-Zhong.(2015).Patient classification of hypertension in Traditional Chinese Medicine using multi-label learning techniques.BMC MEDICAL GENOMICS,8,
MLA：
Li, Guo-Zheng,et al."Patient classification of hypertension in Traditional Chinese Medicine using multi-label learning techniques".BMC MEDICAL GENOMICS 8.(2015)
