Clinical data mining on network of symptom and index and correlation of tongue-pulse data in fatigue population.
Clinical data mining on network of symptom and index and correlation of tongue-pulse data in fatigue population.
复制标题
疲劳人群症状指标网络及舌脉数据相关性的临床数据挖掘
DOI：
10.1186/s12911-021-01410-3
复制
发表时间：
2021-02-24
影响因子：
3.5
通讯作者：
Xu J
中科院分区：
文献类型：
--
作者：
Shi Y;Hu X;Cui J;Cui L;Huang J;Ma X;Jiang T;Yao X;Lan F;Li J;Bi Z;Li J;Wang Y;Fu H;Wang J;Lin Y;Bai J;Guo X;Tu L;Xu J
疲劳是一种非特异性症状，广泛存在于亚健康和各种疾病中。它与人们的身心健康密切相关。由于缺乏客观的诊断标准，在临床诊断中往往被忽视，尤其是在疾病的早期。许多临床实践和研究表明，舌象和脉象反映了人体的整体状态。结合临床症状、指标、舌脉数据建立诊断疾病性疲劳与非疾病性疲劳的客观评价方法，对临床及时有效治疗具有重要意义。本研究将2632名体检人群分为健康对照组、亚健康疲劳组和疾病疲劳组。采用复杂网络技术筛选出亚健康疲劳和疾病疲劳人群的核心症状和西医指标。采用Pajek软件构建核心症状/指标网络和核心症状-指标组合网络。同时，对两组疲劳人群的客观舌脉数据进行典型相关分析，分析舌脉数据的分布情况。亚健康疲劳与疾病疲劳人群的核心症状有一定的相似性，但节点重要性不同。节点重要性差异表明同一症状对两组的诊断贡献率不同。病疲组舌脉数据的典型相关系数为0.42（P < 0.05），亚健康疲组舌脉数据的相关分析无统计学意义。复杂网络技术适用于疲劳人群症状与指标的相关性分析，舌脉数据对疲劳人群的分类有一定的诊断贡献。
Fatigue is a kind of non-specific symptom, which occurs widely in sub-health and various diseases. It is closely related to people's physical and mental health. Due to the lack of objective diagnostic criteria, it is often neglected in clinical diagnosis, especially in the early stage of disease. Many clinical practices and researches have shown that tongue and pulse conditions reflect the body's overall state. Establishing an objective evaluation method for diagnosing disease fatigue and non-disease fatigue by combining clinical symptom, index, and tongue and pulse data is of great significance for clinical treatment timely and effectively. In this study, 2632 physical examination population were divided into healthy controls, sub-health fatigue group, and disease fatigue group. Complex network technology was used to screen out core symptoms and Western medicine indexes of sub-health fatigue and disease fatigue population. Pajek software was used to construct core symptom/index network and core symptom-index combined network. Simultaneously, canonical correlation analysis was used to analyze the objective tongue and pulse data between the two groups of fatigue population and analyze the distribution of tongue and pulse data. Some similarities were found in the core symptoms of sub-health fatigue and disease fatigue population, but with different node importance. The node-importance difference indicated that the diagnostic contribution rate of the same symptom to the two groups was different. The canonical correlation coefficient of tongue and pulse data in the disease fatigue group was 0.42 (P < 0.05), on the contrast, correlation analysis of tongue and pulse in the sub-health fatigue group showed no statistical significance. The complex network technology was suitable for correlation analysis of symptoms and indexes in fatigue population, and tongue and pulse data had a certain diagnostic contribution to the classification of fatigue population.
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DOI：
10.1155/2016/2960372
发表时间：
2016
期刊：
Evidence-based complementary and alternative medicine : eCAM
影响因子：
--
作者：
Liu H;Zeng L;Yang K;Zhang G
通讯作者：
Zhang G
影响因子：
4.1
作者：
Enoka RM;Duchateau J
通讯作者：
Duchateau J
影响因子：
6.6
作者：
Chung, Ka-Fai;Yu, Yee-Man;Yeung, Wing-Fai
通讯作者：
Yeung, Wing-Fai
影响因子：
5.4
作者：
Lin RiYang;Yu HangYing;Yu DongRong
通讯作者：
Yu DongRong
影响因子：
--
作者：
Luo, Zhi-yu;Cui, Ji;Xu, Jia-tuo
通讯作者：
Xu, Jia-tuo