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首页> 外文期刊>Evidence-based complementary and alternative medicine: eCAM >Jianxin Chen, Peng Lu, Xiaohan Zuo, Qi Shi, Huihui Zhao, Liangtao Luo, Jianqiang Yi, Chenglong Zheng, Yi Yang, Wei Wang
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Jianxin Chen, Peng Lu, Xiaohan Zuo, Qi Shi, Huihui Zhao, Liangtao Luo, Jianqiang Yi, Chenglong Zheng, Yi Yang, Wei Wang

机译:J Ian新Chen, pen Glu, ξ敖汉Z UO, Q is Hi, Hui会Zhao, l Ian G套luo, J Ian强Y i, Cheng龙Z恒, Y i yang, Wei Wang

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摘要

Coronary heart disease (CHD) is the leading causes of morbidity and mortality in China. The diagnosis of CHD in Traditional Chinese Medicine (TCM) was mainly based on experience in the past. In this paper, we proposed four Mi-based association algorithms to analyze phenotype networks of CHD, and established scale of syndromes to automatically generate the diagnosis of patients based on their phenotypes. We also compared the change of core syndromes that CHD were combined with other diseases, and presented the different phenotype spectra.
机译:冠心病(CHD)是中国发病率和死亡率的主要原因。中医冠心病的诊断主要基于过去的经验。在本文中,我们提出了四种基于Mi的关联算法来分析CHD的表型网络,并建立了证候的规模以根据患者的表型自动生成诊断。我们还比较了冠心病合并其他疾病的核心综合征的变化,并提出了不同的表型谱。

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