TCM Syndrome Classification of AIDS based on Manifold Ranking

被引:0
|
作者
Zhao, Yufeng [1 ]
Luo, Lin [1 ]
He, Liyun [1 ]
Song, Guanli [2 ]
Liu, Baoyan [3 ]
Xie, Qi [3 ]
Zhang, Xiaoping [3 ]
Jian, Wang [3 ]
Jing, Xianghong [4 ]
机构
[1] China Acad Chinese Med Sci, Inst Basic Res Clin Med, Beijing, Peoples R China
[2] China Acad Chinese Med Sci, Guang An Men Hosptital, Beijing, Peoples R China
[3] China Acad Chinese Med Sci, Beijing, Peoples R China
[4] China Acad Chinese Med Sci, Inst Acupuncture & Moxibust, Beijing, Peoples R China
来源
2014 IEEE SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE IN BIG DATA (CIBD) | 2014年
关键词
Traditional Chinese Medicine (TCM); Acquired Deficiency Syndrome (AIDS); Syndrome classifications; Data Mining; Manifold Ranking; TRADITIONAL CHINESE MEDICINE; DIAGNOSIS;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Treatment based on the syndrome differentiation is the key of Traditional Chinese Medicine (TCM) treating the disease of acquired immune deficiency syndrome (AIDS). Therefore, a feasible way of improving the clinical therapy effectiveness is to correctly explore the syndrome classifications. Recently, more and more AIDS researchers are focused on exploring the syndrome classifications. In this paper, a novel data mining method based on Manifold Ranking (MR) is proposed to analyze the syndrome classifications for the disease of AIDS. Compared with the previous methods, three weaknesses, which are linear relation of the clinical data, mutually exclusive symptoms among different syndromes, confused application of expert knowledge, are avoided so as to effectively exploit the latent relation between syndromes and symptoms. Better performance of syndrome classifications is able to be achieved according to the experimental results and the clinical experts.
引用
收藏
页码:96 / 100
页数:5
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