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首页> 外文会议>International Symposium on Distributed Computing and Applications to Business, Engineering and Science >Symptom Distribution Regulation of Core Symptoms in Insomnia Based on Informap-SA Algorithm
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Symptom Distribution Regulation of Core Symptoms in Insomnia Based on Informap-SA Algorithm

机译：基于Informap-SA算法的失眠核心症状的症状分布规律

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摘要

In the recent decade, clinical data mining in Traditional Chinese Medicine (TCM) based on complex networks has been becoming a hot topic. In this paper, we construct the "Symptom-Prescription" bipartite network in insomnia, which can intuitively reflect the relationship between prescriptions and symptoms in insomnia. And then, through projection of this bipartite network, the "symptom" network is generated. Based on the "symptom" network, the idea of node centrality is introduced to identify the core symptom nodes, which disclose the key factors in clinical diagnosis and treatment. Furthermore, the "symptom" network is divided into several communities detected by Infomap-SA algorithm, the nodes in the same community reveal the concurrent rule of symptoms in insomnia, which has practical guiding significance for clinical diagnosis and treatment in TCM.
机译：在最近的十年中，基于复杂网络的中医临床数据挖掘已经成为一个热门话题。在本文中，我们构建了失眠的“症状-处方”双向网络，该网络可以直观地反映失眠中的处方与症状之间的关系。然后，通过该二分网络的投影，生成了“症状”网络。在“症状”网络的基础上，引入节点中心性的概念来识别核心症状节点，从而揭示了临床诊断和治疗的关键因素。此外，将“症状”网络分为Infomap-SA算法检测到的多个社区，同一社区中的节点揭示失眠症状的并发规律，对中医临床诊治具有实际指导意义。

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