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An Analysis of Plate Linkage Based on Chinese A-Share Market 基于中国a股市场的板块联动分析
Pub Date : 2020-01-01 DOI: 10.12677/hjdm.2020.103022
浩 殷
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引用次数: 0
Research on TCM Intervention Technology for Obesity Based on BMI Grading 基于BMI分级的肥胖中医干预技术研究
Pub Date : 2020-01-01 DOI: 10.12677/hjdm.2020.103020
力 马
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引用次数: 0
Study on the Medication Rule of Traditional Chinese Medicine in Treating Yin Jaundice Syndrome Based on Machine Learning 基于机器学习的中药治疗阴黄疸证用药规律研究
Pub Date : 2020-01-01 DOI: 10.12677/hjdm.2020.103021
Yu Peng, Feng Lin, Yuqing Liu, Xin Cai, Dan Xie, Fan Yang
Objective: To analyze and summarize the law of Traditional Chinese Medicine (TCM) in treating yin jaundice syndrome. Methods: To search the literature of traditional Chinese medicine treatment of yin jaundice syndrome in the database of CNKI, Weipu and Wanfang, and establish the database of yin jaundice syndrome medication. In addition to frequency analysis, classical machine learning methods such as association rules, complex networks, clustering analysis are used to mine the drug use rules from the aspects of drug properties, taste, meridian tropism and efficacy. Results: It was found that the treatment of yin jaundice syndrome was mainly based on warm drugs, the taste of the medicine was mainly sweet, and pungent, and the drug route was mainly through spleen, stomach and liver, revealing that the location of yin jaundice syndrome was mainly in liver and gallbladder, spleen and stomach. TCM clustering can be divided into three categories: Warming Yang and promoting dampness, promoting blood circulation and removing blood stasis, and strengthening spleen. Conclusion: The TCM pays attention to the protection of Spleen Yang in the treatment of yin jaundice syndrome, drugs are mainly Yin Chen Zhu Fu Tang as the main prescription, and also medicine for strengthening spleen and stomach, warming up deficiency, benefiting water infiltration or promoting blood circulation and removing blood stasis, which provides the basis for clinical treatment of patients with jaundice and chronic hepatitis.
目的:分析总结中医治疗阴黄疸证的规律。方法:在中国知网、唯普、万方数据库中检索中药治疗阴黄疸证的文献,建立阴黄疸证用药数据库。除频率分析外,还利用关联规则、复杂网络、聚类分析等经典机器学习方法,从药性、口感、经络性、疗效等方面挖掘用药规律。结果:发现阴黄疸证的治疗以温性药物为主,药味以甘、辣为主,给药途径以经脾胃肝为主,说明阴黄疸证的部位以肝胆、脾胃为主。中医聚类可分为温阳益湿、活血化瘀、健脾三大类。结论:中医在治疗阴性黄疸证时注重保脾养阳,药物以阴陈助附汤为主要方剂,同时也有健脾胃、暖虚益水或活血化瘀的方药,为临床治疗黄疸合并慢性肝炎患者提供了依据。
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引用次数: 0
Knowledge Graph Oriented Information Extraction 面向知识图谱的信息抽取
Pub Date : 2020-01-01 DOI: 10.12677/hjdm.2020.104030
海霞 赵
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引用次数: 3
A Risk Prediction Model Based on Prior Medical Knowledge 基于先验医学知识的风险预测模型
Pub Date : 2020-01-01 DOI: 10.12677/hjdm.2020.101003
迁 陆
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引用次数: 0
A Short-Term Traffic Forecasting Research Based on Didi Chuxing GAIA Open Dataset Using Echo State Network Optimized by PSO Algorithm 基于PSO算法优化回声状态网络的滴滴出行GAIA开放数据集短期交通预测研究
Pub Date : 2019-01-01 DOI: 10.12677/hjdm.2019.94019
家顺 张
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引用次数: 0
Study on Large Data of Major Elements of Mudstone in Songliao Basin 松辽盆地泥岩主要元素大数据研究
Pub Date : 2019-01-01 DOI: 10.12677/hjdm.2019.93013
雨 田
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引用次数: 0
Data Min-ing in Film Review with Sentiment Analysis 基于情感分析的影评数据挖掘
Pub Date : 2019-01-01 DOI: 10.12677/hjdm.2019.92003
启政 夏
{"title":"Data Min-ing in Film Review with Sentiment Analysis","authors":"启政 夏","doi":"10.12677/hjdm.2019.92003","DOIUrl":"https://doi.org/10.12677/hjdm.2019.92003","url":null,"abstract":"","PeriodicalId":57348,"journal":{"name":"数据挖掘","volume":"36 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89212827","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Research on Ab-normal Trajectory Behavior of Vehicles 飞行器反法向轨迹行为研究
Pub Date : 2019-01-01 DOI: 10.12677/hjdm.2019.93014
松 余
{"title":"Research on Ab-normal Trajectory Behavior of Vehicles","authors":"松 余","doi":"10.12677/hjdm.2019.93014","DOIUrl":"https://doi.org/10.12677/hjdm.2019.93014","url":null,"abstract":"","PeriodicalId":57348,"journal":{"name":"数据挖掘","volume":"2 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82266089","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Enhanced Linear Discriminant Projections with Global plus Local Information 基于全局加局部信息的增强线性判别投影
Pub Date : 2019-01-01 DOI: 10.12677/hjdm.2019.92006
炜琪 麦
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引用次数: 0
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