scholarly journals Application of Acupoints and Meridians for the Treatment of Primary Dysmenorrhea: A Data Mining-Based Literature Study

2015 ◽  
Vol 2015 ◽  
pp. 1-8 ◽  
Author(s):  
Siyi Yu ◽  
Jie Yang ◽  
Mingxiao Yang ◽  
Yan Gao ◽  
Jiao Chen ◽  
...  
Keyword(s):  
Data Mining ◽  
Lower Limbs ◽  
Primary Dysmenorrhea ◽  
Literature Study ◽  
China National Knowledge Infrastructure ◽  
Knowledge Infrastructure ◽  
Bladder Meridian ◽  
Acupoint Specificity ◽  
Conception Vessel ◽  
Selection Of

Background.Dysmenorrhea is a common problem for which acupuncture provides effective analgesia. Although acupoint selection affects the effectiveness of acupuncture, the basic rules of acupoint selection are little understood. This study aims to investigate the principles of acupoint selection and characteristics of acupoints used for primary dysmenorrhea.Methods.PubMed, China National Knowledge Infrastructure, and Chinese Biomedical Database were searched for clinical trials published in English or Chinese from January 1978 to April 2014 evaluating the effect of acupuncture on primary dysmenorrhea, with or without methods of randomization and/or control. Three authors extracted information and two reviewers inputted information on titles, journals, interventions, main acupoints, and outcomes using the self-established Data Excavation Platform of Acupoint Specificity for data mining.Results. Sanyinjiao(SP06),Guanyuan(CV04), andQihai(CV06) were used most frequently. The most frequently used meridians were Conception Vessel, Spleen Meridian of FootTaiyin, and Bladder Meridian of FootTaiyang. 67.24% of acupoints used were specific acupoints. Acupoints on lower limbs were most frequently used.Conclusion.Data mining is a feasible approach to identify the characteristics of acupoint selection. Our study indicated that modern acupuncture treatment for primary dysmenorrhea is based on selection of specific acupoints according to traditional acupuncture theory.

scholarly journals Analysis of acupoint selection and combinations in acupuncture treatment of asthma based on data mining

2021 ◽  
Author(s):  
Pan-Pan Shang ◽  
Cai-Tao Chen ◽  
Mi Cheng ◽  
Yang-Lin Shi ◽  
Yong-Qing Yang ◽  
...  
Keyword(s):  
Data Mining ◽  
Association Rule ◽  
Association Rule Mining ◽  
Acupuncture Treatment ◽  
Interconnection Network ◽  
Rule Mining ◽  
Bladder Meridian ◽  
Using Data ◽  
Conception Vessel ◽  
Selection Of

Objective: Using data mining, the present study aimed to discover the most effective acupoints and combinations in the acupuncture treatment of asthma. Methods: The main acupoints prescribed in these clinical trials was collected and quantified. A network analysis was performed to uncover the interconnections. Additionally, hierarchical clustering analysis and association rule mining were conducted to discover the potential acupoint combinations. Results: Feishu (BL13), Dingchuan (EX-B1), Dazhui (GV14), Shengshu (BL23), Pishu (BL20), and Fengmen (BL12) appeared to be the most frequently used acupoints for asthma. While the Bladder Meridian of Foot Taiyang, the Governor Vessel, and the Conception Vessel, compared to other meridians, were found to be the more commonly selected meridians. In the acupoint interconnection network, Feishu (BL13), Fengmen (BL12), Dingchuan (EX-B1), and Dazhui (GV14) were defined as key node acupoints. Association rule mining analysis demonstrated that the combination of Pishu, Shenshu, Feishu, and Dingchuan, as well as that of Feishu, Dazhui, and Fengmen were potential acupoint combinations that should be selected with priority in asthma treatment. Conclusion: This study provides valuable information regarding the selection of the most effective acupoints and combinations for clinical acupuncture practice and experimental study aimed at the prevention and treatment of asthma.

Mapping music education research in Mainland China (2007–2019): A metadata-based literature analysis

2021 ◽  
pp. 025576142098892
Author(s):  
Yang Yang ◽  
Aiqing Yin ◽  
Tao Guan
Keyword(s):  
Music Education ◽  
Empirical Studies ◽  
Mainland China ◽  
Mixed Method Research ◽  
Literature Study ◽  
China National Knowledge Infrastructure ◽  
Research Areas ◽  
Research Orientation ◽  
Knowledge Infrastructure ◽  
Selection Of

This metadata-based literature study provides a comprehensive mapping of China’s music education by analysing 3,257 Chinese research articles published during 2007–2019. The selection of the articles is based on careful inspections of the China National Knowledge Infrastructure (CNKI) database and rigorous coding of literature attributes. The analysis of descriptive and analytical attributes showed (a) dominance of qualitative over quantitative/mixed-method research paradigm, (b) a strong preference for conceptual over empirical studies and (c) a policy-reinforced research orientation. The prime inference from the findings also raised concerns on several ‘neglected’ research areas and quality issues in the selected literature.

Mining Big Data in Manufacturing: Requirement Analysis, Tools and Techniques

2014 ◽  
Author(s):  
Utpal Roy ◽  
Bicheng Zhu ◽  
Yunpeng Li ◽  
Heng Zhang ◽  
Omer Yaman
Keyword(s):  
Data Mining ◽  
Big Data ◽  
Product Design ◽  
Literature Study ◽  
Data Mining Techniques ◽  
Using Data ◽  
Tools And Techniques ◽  
Audio Video ◽  
Manufacturing Problems ◽  
Selection Of

Data Mining has tremendous potential and usefulness in improving the effectiveness of decision-making in manufacturing. Tools and techniques of data mining can be intelligently applied from product design analysis to the product repair and maintenance. Vast amount of data in the form of documents (text), graphical formats (CAD-file), audio/video, numbers, figures and/or hypertext are available in any typical manufacturing system. Our ultimate goal is to develop data-driven methodologies to solve manufacturing problems using data mining techniques. As a precursor, based on a literature study, this paper investigates selective manufacturing areas to identify the requirements for applying data mining techniques in solving potential manufacturing problems. The reviewed manufacturing areas are: (i) the “Design Intent” retrieval process for the product design and manufacturing, (ii) selection of materials, (iii) performance evaluations of manufacturing process design and operation management, and (iv) product inspection, and after-sales services (repair and maintenance). Industrial efforts towards addressing “Big Data” issues have also been briefly narrated in this paper. Lastly, the paper discusses two important data–related issues that may affect any applications of the data mining tools and techniques — (i) uncertainty involved in data collection, and (ii) interoperability of data collected at different levels of an enterprise.

scholarly journals Acupoints for Tension-Type Headache: A Literature Study Based on Data Mining Technology

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Lingyun Lu ◽  
Qian Wen ◽  
Xinyu Hao ◽  
Qianhua Zheng ◽  
Ying Li ◽  
...  
Keyword(s):  
Data Mining ◽  
Key Words ◽  
Tension Type Headache ◽  
The Self ◽  
Clinical Practices ◽  
Literature Study ◽  
Total Frequency ◽  
Acupuncture And Moxibustion ◽  
Acupoint Specificity ◽  
Type Headache

Objectives. This study aimed to explore the characteristics and principles of acupoints, which were applied for treating tension-type headache (TTH). Methods. Four databases were searched for the literature studies of treating TTH with acupuncture and moxibustion up to September 1, 2020. Titles, journals, authors, key words, interventions, main acupoints, and outcomes of the included literature studies were extracted and inputted into the self-established Data Excavation Platform of Acupoint Specificity for analysis. Results. In total, 128 papers containing 137 prescriptions, 89 meridian acupoints, and 7 extraordinary acupoints of treating TTH with acupuncture and moxibustion were included. The total frequency of acupoints’ application was 763 times. Fengchi (GB20), Baihui (GV20), Taiyang (EX-HN5), Hegu (LI4), and Taichong (LR3) were used most frequently. The acupoints in Yang meridians were utilized more than those in Yin meridians (66.1% vs. 17.8%), and the acupoints in the Gallbladder Meridian of Foot Shaoyang were applied most commonly. 59.9% (457/763) of the applied acupoints were on the head, face, and neck, and 31.7% (242/763) were on the four limbs. Additionally, the proportion of specific acupoints’ application was 78.2% (597/763). Conclusions. The prescription of Fengchi (GB20), Baihui (GV20), Taiyang (EX-HN5), Hegu (LI4), and Taichong (LR3) might be relatively reasonable in clinical practices of treating TTH with acupuncture, which should be verified in further studies.

Literature Study –Data Mining Techniques on Detecting Fradulent Activities in Credit Card

2017 ◽  
Vol 6 (10) ◽  
pp. 60
Author(s):  
S. K. Saravanan ◽  
G. N. K. Suresh Babu
Keyword(s):  
Data Mining ◽  
Credit Card ◽  
Data Transfer ◽  
Study Data ◽  
Time Requirement ◽  
Literature Study ◽  
Data Mining Techniques ◽  
Online Transactions ◽  
Secured Data ◽  
Credit Card Usage

In contemporary days the more secured data transfer occurs almost through internet. At same duration the risk also augments in secure data transfer. Having the rise and also light progressiveness in e – commerce, the usage of credit card (CC) online transactions has been also dramatically augmenting. The CC (credit card) usage for a safety balance transfer has been a time requirement. Credit-card fraud finding is the most significant thing like fraudsters that are augmenting every day. The intention of this survey has been assaying regarding the issues associated with credit card deception behavior utilizing data-mining methodologies. Data mining has been a clear procedure which takes data like input and also proffers throughput in the models forms or patterns forms. This investigation is very beneficial for any credit card supplier for choosing a suitable solution for their issue and for the researchers for having a comprehensive assessment of the literature in this field.

K-MEANS CLUSTERING ALGORITHM FOR SERVICE DATA ANALYSIS BASED ON CUSTOMERS COMBINATION

2018 ◽  
Vol 3 (1) ◽  
pp. 001
Author(s):  
Zulhendra Zulhendra ◽  
Gunadi Widi Nurcahyo ◽  
Julius Santony
Keyword(s):  
Data Mining ◽  
Data Analysis ◽  
Clustering Algorithm ◽  
Customer Complaints ◽  
Using Data ◽  
Clustering Data ◽  
Service Data ◽  
Selection Of

In this study using Data Mining, namely K-Means Clustering. Data Mining can be used in searching for a large enough data analysis that aims to enable Indocomputer to know and classify service data based on customer complaints using Weka Software. In this study using the algorithm K-Means Clustering to predict or classify complaints about hardware damage on Payakumbuh Indocomputer. And can find out the data of Laptop brands most do service on Indocomputer Payakumbuh as one of the recommendations to consumers for the selection of Laptops.

Efficacy of Alprostadil in Preventing Contrast-Induced Nephropathy: A Systematic Review and Meta-Analysis

Angiology ◽  
2021 ◽  
pp. 000331972110044
Author(s):  
Hongling Xu ◽  
Hongye Wang ◽  
Chuang Zhang ◽  
Jun Xiao ◽  
Ning Hua ◽  
...  
Keyword(s):  
Meta Analysis ◽  
China National Knowledge Infrastructure ◽  
Contrast Induced Nephropathy ◽  
Serum Cystatin ◽  
Assessment Development ◽  
Neutrophil Gelatinase Associated Lipocalin ◽  
Knowledge Infrastructure ◽  
Evidence Evaluation ◽  
Biological Medicine ◽  
Neutrophil Gelatinase

This study aimed to determine the efficacy of alprostadil in preventing contrast-induced nephropathy (CIN). Eligible studies were searched using the keywords through the databases of PubMed, Cochrane, Embase, China Biological Medicine Database, China National Knowledge Infrastructure, and Vanfun. Quality evaluation of the included studies was conducted according to international evidence evaluation and recommended Grades of Recommendations Assessment, Development, and Evaluation standards. We included 29 studies with 5623 patients. Compared with hydration, 10 µg/d alprostadil or 20 µg/d alprostadil plus hydration significantly decreased the incidence of CIN. Compared with hydration, alprostadil plus hydration significantly reduced serum creatinine and blood urea nitrogen at 24, 48, and 72 hours and 7 days after coronary angiography (CAG). Alprostadil (20 µg/d) plus hydration significantly decreased serum cystatin versus hydration at 24, 48, and 72 hours after CAG. Compared with hydration, alprostadil plus hydration significantly increased glomerular filtration rate at 24 and 72 hours after CAG. Alprostadil plus hydration significantly decreased neutrophil gelatinase-associated lipocalin levels compared to hydration at 24, 48, and 72 hours after CAG. Alprostadil plus hydration significantly decreased urine macroglobulin versus hydration at 24 and 48 hours after CAG.

scholarly journals Effect of somatometric parameters on the prevalence and severity of varicocele: a systematic review and meta-analysis

2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Runqing Li ◽  
Junjie Liu ◽  
Yushan Li ◽  
Quanxian Wang
Keyword(s):  
Systematic Review ◽  
Meta Analysis ◽  
Cochrane Library ◽  
China National Knowledge Infrastructure ◽  
Random Effects Models ◽  
Knowledge Infrastructure ◽  
Regression Test ◽  
Mean Differences ◽  
Q Statistic ◽  
The Relationship

Abstract Background Published studies have shown contradictory results regarding the relationship between somatometric parameters and varicoceles. We performed a systematic review and meta-analysis to investigate the possible effects of age, height, weight, and body mass index (BMI) on the presence and severity of varicoceles. Methods Databases including EMBASE, MEDLINE, PubMed, Cochrane Library, China National Knowledge Infrastructure (CNKI), Web of Science, and Google Scholar were systematically searched to identify relevant articles published up to March 2020. Two researchers independently identified eligible articles and extracted data. Cochran’s Q statistic and I2 statistics were used to assess heterogeneity. Meta-analysis was performed using StataSE 12.0 software (StataCorp LP, USA). Random-effects models were used to obtain the weighted mean differences (WMDs) and 95% confidence intervals (CIs). Publication bias was assessed using Begg’s funnel plot and Egger’s regression test. Results The search strategy produced 272 articles, of which 18 articles were eligible according to the inclusion/exclusion criteria. A total of 56,325 patients with varicocele and 1,334,694 patients without varicocele were included in the meta-analysis to evaluate the effect of somatometric parameters on the presence and severity of varicocele. The overall results demonstrated that the presence of varicoceles was significantly associated with height (WMD = 1.41, 95% CI = 1.07 to 1.74, P < 0.001) and inversely correlated with BMI (WMD = − 1.35, 95% CI = -1.67 to − 1.03, P < 0.001) but not with age (WMD = -0.93, 95% CI = -2.19 to 0.33, P = 0.149) or weight (WMD = 0.24, 95% CI = -2.24 to 2.72, P = 0.850). The severity of varicocele was inversely correlated with increased BMI but not with age. Conclusion The presence of varicoceles was significantly associated with height and inversely correlated with BMI.

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