Exploring Regularity in Traditional Chinese Medicine Clinical Data Using Heterogeneous Weighted Networks Embedding

机译：利用异构加权网络嵌入探索中医临床数据的规律性

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Regularities of prescriptions are important for both clinical practice and novel healthcare development in clinical traditional Chinese medicine (TCM). To address this issue and meet clinical demand for determining treatments, we propose an unsupervised analysis model termed AMNE to determine effective herbs for diverse symptoms in prescriptions. Results confirmed by human physicians demonstrate AMNE can outperform several previous TCM regularity discovery models in prescriptions.

机译：处方的规律性对于中医临床实践和新型医疗保健的发展都至关重要。为了解决此问题并满足确定治疗的临床需求，我们提出了一种称为AMNE的无监督分析模型，可以确定处方中各种症状的有效草药。人类医师证实的结果表明，AMNE可以在处方中优于以前的几种中医规律性发现模型。

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《International Workshop on Big Data Management and Service;International Conference on Database Systems for Advanced Applications;International Workshop on Big Data Quality Management;International Workshop on Graph Data Management and Analysis》|2019年|310-313|共4页
会议地点 Chiang Mai(TH)
作者
Chunyang Ruan; Ye Wang; Yanchun Zhang; Yun Yang;
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School of Computer Science Fudan University Shanghai China Cyberspace Institute of Advanced Technology Guangzhou University Guangzhou China;

College of Engineering and Science Victoria University Melbourne Australia;

School of Computer Science Fudan University Shanghai China College of Engineering and Science Victoria University Melbourne Australia Cyberspace Institute of Advanced Technology Guangzhou University Guangzhou China;

Department of Oncology and Longhua Hospital Shanghai China;

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1. Exploring the Ligand-Protein Networks in Traditional Chinese Medicine: Current Databases, Methods and Applications [J] . Mingzhu Zhao Dongqing Wei Advances in Experimental Medicine and Biology . 2015,第Null期

机译：探索中药的配体-蛋白质网络：当前的数据库，方法和应用
2. Exploring the Ligand-Protein Networks in Traditional Chinese Medicine: Current Databases, Methods, and Applications [J] . Mingzhu Zhao, Qiang Zhou, Wanghao Ma, Evidence-based complementary and alternative medicine: eCAM . 2013,第10期

机译：探索中药中的配体-蛋白质网络：当前的数据库，方法和应用
3. Exploring the Ligand-Protein Networks in Traditional Chinese Medicine: Current Databases, Methods, and Applications [J] . MingzhuZhao, QiangZhou, WanghaoMa, Evidence-based complementary and alternative medicine: eCAM . 2013,第4期

机译：探索中药中的配体-蛋白质网络：当前的数据库，方法和应用
4. Exploring Regularity in Traditional Chinese Medicine Clinical Data Using Heterogeneous Weighted Networks Embedding [C] . Chunyang Ruan, Ye Wang, Yanchun Zhang, International Workshop on Big Data Management and Service . 2019

机译：使用异构加权网络嵌入中医临床数据探索规律性
5. Pre-clinical Investigation of Selected Traditional Chinese Medicines on Liver Fibrosis. [D] . Zhang, Xin. 2015

机译：肝纤维化精选中药的临床前研究。
6. Exploring the Ligand-Protein Networks in Traditional Chinese Medicine: Current Databases Methods and Applications [O] . Mingzhu Zhao, Qiang Zhou, Wanghao Ma, 2013

机译：探索中药的配体-蛋白质网络：当前的数据库方法和应用
7. Extracting relations from traditional Chinese medicine literature via heterogeneous entity networks [O] . Wan Huaiyu, Moens Marie-Francine, Luyten Walter, 2016

机译：通过异构实体网络从中医文献中提取关系

Exploring Regularity in Traditional Chinese Medicine Clinical Data Using Heterogeneous Weighted Networks Embedding

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