Network Analysis System for Traditional Chinese Medicine Clinical Data

Xuezhong Zhou, Baoyan Liu
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引用次数: 11

Abstract

Traditional Chinese medicine (TCM) is a clinical medical discipline with clinical data as one of the main knowledge sources. The clinical information (e.g. symptoms, diagnoses and herb prescriptions) that is captured, generated and used by TCM physicians has complicated inter or intra relationships between the different elements. Due to the co- occurrence and combinational properties, TCM clinical data could naturally be represented by networks. This paper introduces a complex network analysis system to model and analyze the TCM clinical data. The system could automatically generate the networks from the clinical database, query the generated network data from the database and has the social network analysis abilities (e.g. measurements and community identification). It integrated the TCM knowledge (e.g. herb properties) to visualize the clinical data (e.g. herb prescriptions, symptoms and diagnoses) by networks, and can help acquire the core medical structures or relationships from the large-scale clinical data. It shows that the system provides a helpful platform for TCM clinical data analysis and the network analyses could generate clinically meaningful knowledge.
中医临床数据网络分析系统
中医是一门临床医学学科,临床资料是主要的知识来源之一。中医医生获取、生成和使用的临床信息(如症状、诊断和草药处方)在不同元素之间具有复杂的内部或内部关系。由于中医临床数据的共现性和组合性,自然可以用网络来表示。本文介绍了一个复杂的网络分析系统,用于中医临床数据的建模和分析。系统能够自动从临床数据库中生成网络,并对生成的网络数据进行查询,具有社会网络分析能力(如测量、社区识别等)。它整合了中医知识(如草药性质),通过网络将临床数据(如草药处方、症状和诊断)可视化,并有助于从大规模临床数据中获取核心医学结构或关系。结果表明,该系统为中医临床数据分析提供了一个有益的平台,网络分析可以产生有临床意义的知识。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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