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基于隐树模型的绝经后骨质疏松性骨折证候要素提取及特征分析 被引量:5

Extraction and characterization of syndrome factors of postmenopausal osteoporotic fracture based on latent tree model
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摘要 目的:提取绝经后骨质疏松性骨折的中医证候要素,分析其相关特征。方法:基于隐树模型,对北京、上海两地社区绝经后骨质疏松性骨折患者中医证候要素相关数据进行分析。结果:发现该病患者主要涉及的证候要素靶位包括:肝、肾(隐变量Y1),脾、肾(隐变量Y2),主要证候要素为肝肾阴虚(隐变量Y1)和脾肾阳虚(隐变量Y2)。结论:隐树模型可以通过绝经后骨质疏松性骨折症状间的复杂关系,定性、定量化地凝练该病中医证候要素,为进一步研究该病提供工作基础与必要条件。 Objective:To extract the TCM syndrome factors of postmenopausal osteoporotic fractures and analyze their related characteristics.Methods:The data of TCM syndromes of postmenopausal osteoporotic fractures in Beijing and Shanghai were analyzed based on the latent tree model.Results:The results showed that the target factors of the syndromes mainly included:liver and kidney(hidden variable Y1),spleen and kidney(hidden variable Y2).The main syndromes were yin deficiency of liver and kidney(hidden variable Y1) and yang deficiency of spleen and kidney(Hidden variable Y2).Conclusion:The latent tree model can qualitatively and quantitatively condense the TCM syndromes of the disease through the complex relationship between postmenopausal osteoporotic fractures,and provide the working basis and necessary condition for the further study of the disease.
作者 章轶立 魏戌 田峰 姜俊杰 申浩 谢雁鸣 ZHANG Yi-li;WEI Xu;TIAN Feng;JIANG Jun-jie;SHEN Hao;XIE Yan-ming(Institute of Basic Theory for Chinese Medicine, China Academy of Chinese Medical Sciences, Beijing 100700, China;Wangjing Hospital of China Academy of Chinese Medical Science, Beijing 100102, China)
出处 《中华中医药杂志》 CAS CSCD 北大核心 2018年第2期550-553,共4页 China Journal of Traditional Chinese Medicine and Pharmacy
基金 国家自然科学基金面上项目(No.81373885) 北京市中医药科技发展资金项目(No.JJ2015-57)~~
关键词 隐树模型 绝经后骨质疏松性骨折 证候要素 数据挖掘 Latent tree model Postmenopausal osteoporotic fractures Syndrome factors Data mining
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