scholarly journals Exploring the combination and modular characteristics of herbs for alopecia treatment in traditional Chinese medicine: an association rule mining and network analysis study

2018 ◽  
Vol 18 (1) ◽  
Author(s):  
Jungtae Leem ◽  
Wonmo Jung ◽  
Yohwan Kim ◽  
Bonghyun Kim ◽  
Kyuseok Kim
Keyword(s):  
Chinese Medicine ◽  
Network Analysis ◽  
Traditional Chinese Medicine ◽  
Association Rule ◽  
Association Rule Mining ◽  
Rule Mining ◽  
Analysis Study

scholarly journals Association rule mining for the ordered placement of traditional Chinese medicine containers

Medicine ◽  
2020 ◽  
Vol 99 (18) ◽  
pp. e20090
Author(s):  
Chih-Wen Chen ◽  
Chih-Fong Tsai ◽  
Yi-Hong Tsai ◽  
Yang-Chang Wu ◽  
Fang-Rong Chang
Keyword(s):  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
Association Rule ◽  
Association Rule Mining ◽  
Rule Mining

Study on Application of Data Mining Technology in Syndrome Differentiation of TCM

2013 ◽  
Vol 765-767 ◽  
pp. 282-285
Author(s):  
Zhi Guo Dai ◽  
Yang Yang Han
Keyword(s):  
Data Mining ◽  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
Association Rules ◽  
Association Rule ◽  
Association Rule Mining ◽  
Syndrome Differentiation ◽  
Rule Mining ◽  
Mining Technology ◽  
Disease Symptoms

Study on the applications of association rule mining in traditional Chinese medicine (TCM) knowledge and experience is carried out in this paper. The association rules of disease symptoms and syndrome differentiation, syndrome differentiation and prescription, disease symptoms and prescription are mined by analyzing the cases of patients with chronic gastritis, and then the mined association rules are interpreted that provide the beneficial reference for data mining technology in TCM.

scholarly journals Investigating Prescriptions and Mechanisms of Acupuncture for Chronic Stable Angina Pectoris: An Association Rule Mining and Network Analysis Study

2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
Jie Yu ◽  
Yongliang Jiang ◽  
Mingqi Tu ◽  
Binjun Liao ◽  
Jianqiao Fang
Keyword(s):  
Network Analysis ◽  
Angina Pectoris ◽  
Stable Angina ◽  
Association Rule ◽  
Association Rule Mining ◽  
Acupuncture Treatment ◽  
Chronic Stable Angina ◽  
Controlled Trials ◽  
Stable Angina Pectoris ◽  
Rule Mining

Chronic stable angina pectoris (CSAP) is a worldwide cardiovascular disease that severely affects people’s quality of life and causes serious cardiovascular accidents. Although acupuncture had been confirmed as a potential adjunctive treatment for CSAP, the basic rules and mechanisms of acupoints were little understood. We conducted a systematic search of the China Biology Medicine (CBM), VIP database, Wangfang database, China National Knowledge Infrastructure (CNKI), PubMed, Cochrane Library, Embase, and Web of Science to identify eligible clinical controlled trials (CCTs) and randomized controlled trials (RCTs), from their inception to 18th February 2020. The acupoint prescriptions in the treatment of CSAP were extracted and analyzed based on the association rule mining (ARM) and network analysis. In addition, potential mechanisms of acupuncture for treating CSAP were summarized by data mining. A total of 27 eligible trials were included. Analysis of acupoint prescriptions covered 36 conventional acupoints and 1 experience acupoint, distributing in 10 meridians. The top three frequently used acupoints were PC6, LU9, and ST36. The top three frequently used meridians were the pericardial meridian, lung meridian, and heart meridian. The most frequently used acupoint combinations were LU9 combined with PC6. Besides, network analysis indicated that the core acupoints included PC6, BL15, ST40, and RN17. Moreover, potential mechanisms of acupuncture for treating CSAP involved the regulation of autonomic nerve function, the content of matrix metalloproteinase-9 (MMP-9), volume and the equivalent block of coronary artery calcified plaque (CACP), endothelin (ET), and nitric oxide (NO), neutrophil-lymphocyte ratio (NLR), the content of C-reactive protein (CRP), and tumor necrosis factor-α (TNF-α). In conclusion, our findings concerning acupoint prescriptions and potential mechanisms in the acupuncture treatment of CSAP could provide an optimized acupuncture treatment plan for clinical treatment of CSAP and promote further mechanism research and network research of CSAP.

scholarly journals Application of Association Rule Mining and Social Network Analysis for Understanding Causality of Construction Defects

2019 ◽  
Vol 11 (3) ◽  
pp. 618 ◽  
Author(s):  
Sangdeok Lee ◽  
Yongwoon Cha ◽  
Sangwon Han ◽  
Changtaek Hyun
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Association Rule ◽  
Association Rule Mining ◽  
Cost Overrun ◽  
Rule Mining ◽  
Suggested Approach ◽  
Schedule Delay ◽  
Construction Defects

A construction defect can cause schedule delay, cost overrun and quality deterioration. In order to minimize these negative impacts of construction defects, this paper aims to analyze the causality of construction defects. Specifically, association rule mining (ARM) is used to quantify the interrelationships between defect causes, and social network analysis (SNA) is utilized to find out the most influential causes triggering generation of construction defects. The suggested approach was applied to 2949 defect instances in finishing work. Through this application, it was confirmed that the proposed approach can systematically identify and quantify causality among defect causes.

Combining association rule mining and network analysis for pharmacosurveillance

2016 ◽  
Vol 72 (5) ◽  
pp. 2014-2034 ◽  
Author(s):  
Eugene Belyi ◽  
Philippe J. Giabbanelli ◽  
Indravadan Patel ◽  
Naga Harish Balabhadrapathruni ◽  
Aymen Ben Abdallah ◽  
...  
Keyword(s):  
Network Analysis ◽  
Association Rule ◽  
Association Rule Mining ◽  
Rule Mining

scholarly journals Exploring Technology Influencers from Patent Data Using Association Rule Mining and Social Network Analysis

Information ◽  
2020 ◽  
Vol 11 (6) ◽  
pp. 333 ◽  
Author(s):  
Pranomkorn Ampornphan ◽  
Sutep Tongngam
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Association Rule ◽  
Association Rule Mining ◽  
Patent Data ◽  
Rule Mining ◽  
Trend Forecasting ◽  
Mining Methods ◽  
Patent Documents

A patent is an important document issued by the government to protect inventions or product design. Inventions consist of mechanical structures, production processes, quality improvements of products, and so on. Generally, goods or appliances in everyday life are a result of an invention or product design that has been published in patent documents. A new invention contributes to the standard of living, improves productivity and quality, reduces production costs for industry, or delivers products with higher added value. Patent documents are considered to be excellent sources of knowledge in a particular field of technology, leading to inventions. Technology trend forecasting from patent documents depends on the subjective experience of experts. However, accumulated patent documents consist of a huge amount of text data, making it more difficult for those experts to gain knowledge precisely and promptly. Therefore, technology trend forecasting using objective methods is more feasible. There are many statistical methods applied to patent analysis, for example, technology overview, investment volume, and the technology life cycle. There are also data mining methods by which patent documents can be classified, such as by technical characteristics, to support business decision-making. The main contribution of this study is to apply data mining methods and social network analysis to gain knowledge in emerging technologies and find informative technology trends from patent data. We experimented with our techniques on data retrieved from the European Patent Office (EPO) website. The technique includes K-means clustering, text mining, and association rule mining methods. The patent data analyzed include the International Patent Classification (IPC) code and patent titles. Association rule mining was applied to find associative relationships among patent data, then combined with social network analysis (SNA) to further analyze technology trends. SNA provided metric measurements to explore the most influential technology as well as visualize data in various network layouts. The results showed emerging technology clusters, their meaningful patterns, and a network structure, and suggested information for the development of technologies and inventions.

scholarly journals Association Rule Mining and Network Analysis in Oriental Medicine

PLoS ONE ◽  
2013 ◽  
Vol 8 (3) ◽  
pp. e59241 ◽  
Author(s):  
Dong Hoon Yang ◽  
Ji Hoon Kang ◽  
Young Bae Park ◽  
Young Jae Park ◽  
Hwan Sup Oh ◽  
...  
Keyword(s):  
Network Analysis ◽  
Association Rule ◽  
Association Rule Mining ◽  
Oriental Medicine ◽  
Rule Mining
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