基于结构偏序属性图的“精密中医”实验研究

2015 Fifth International Conference on Instrumentation and Measurement, Computer, Communication and Control (IMCCC) Pub Date : 2015-09-01 DOI:10.1109/IMCCC.2015.7

Chaonan Liu, Yuzhou Liu, Ye Deng, Saimei Li, Wenxue Hong, N. Zhang

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引用次数: 2

摘要

精准医疗被认为是未来医疗模式的发展趋势，在中国越来越受到关注。然而，中医(TCM)迫切需要更加准确。本文首先构建了“病-证-法-方-药”知识库，最后探索了一种基于结构化偏序属性图(SPOAD)和大数据知识发现的可行“精准中医”模型，将促进中医大数据挖掘和中医精准化。

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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Experimental Research on "Precision TCM" Based on Structural Partial-Ordered Attribute Diagram

Precision Medicine, considered as trend of future medical model, draws more and more attention in China. However, Traditional Chinese Medicine (TCM) was urgently need to be more accurate. This article first constructed Disease-Syndrome-Method-Prescription-Herb knowledge base and finally explored a feasible model of "Precision TCM" based on structural Partial-Ordered attribute diagram (SPOAD) and big data knowledge discovery, which will promote TCM big data mining and TCM precision.

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来源期刊

2015 Fifth International Conference on Instrumentation and Measurement, Computer, Communication and Control (IMCCC)

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