The Application of Association Rules in Clinical Disease: The Relationship Between Recovery After Operation of Endovascular Aneurysm Repairing and Chronic

2014 ◽  
pp. 712-721 ◽  
Author(s):  
Lin Hui ◽  
Chun-Che Shih ◽  
Huan-Chao Keh ◽  
Po-Yuan Yu ◽  
Yuan-Cheng Cheng ◽  
...  
Keyword(s):  
Association Rules ◽  
Clinical Disease ◽  
The Relationship

scholarly journals Algorithm and Simulation of Association Rules of Drug Relationship Based on Network Model

Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-14
Author(s):  
Hui Teng ◽  
Yukun Ma ◽  
Di Teng
Keyword(s):  
Decision Making ◽  
Network Model ◽  
Association Rules ◽  
Association Rule ◽  
Simulation Analysis ◽  
Pharmaceutical Research ◽  
Accurate Analysis ◽  
Systematic Analysis ◽  
Relationship Of ◽  
The Relationship

Studying drug relationships can provide deeper information for the construction and maintenance of biomedical databases and provide more important references for disease treatment and drug development. The research model has expanded from the previous focus on a certain drug to the systematic analysis of the pharmaceutical network formed between drugs. Network model is suitable for the study of the nonlinear relationship of the pharmaceutical relationship by modeling the data learning. Association rule mining is used to find the potential correlations between the various sets of massive data. Therefore, based on the network model, this research proposed an algorithm for drug interaction under improved association rules, which achieved accurate analysis and decision-making of drug relationship. Meanwhile, this research applied the established association rule algorithm to discuss the relationship between Chinese medicine and mental illness medicine and conducted the algorithm research and simulation analysis of the association relationship. The results showed the association rule algorithm based on the network model constructed was better than other association algorithms. It had reliability and superiority in decision-making in improving the drug-drug relationship. It also promoted the rational use of medicines and played a guiding role in pharmaceutical research. This provides scientific research personnel with research basis and research ideas for disease-related diagnosis.

The relationship between cortical and spinal hyperexcitability and clinical disease severity in stiff-man syndrome

2012 ◽  
Vol 18 (9) ◽  
pp. 1045-1047 ◽  
Author(s):  
Samuel D. Kim ◽  
Steve Vucic ◽  
Neil Mahant ◽  
Matthew C. Kiernan ◽  
Victor S.C. Fung
Keyword(s):  
Disease Severity ◽  
Clinical Disease ◽  
Stiff Man Syndrome ◽  
The Relationship

Can mild-to-moderate hyperhomocysteinaemia impair endothelial function in the absence of other risk factors for cardiovascular disease?

2004 ◽  
Vol 106 (4) ◽  
pp. 345-346
Author(s):  
Marina L. H. HONING ◽  
Coen D. A. STEHOUWER
Keyword(s):  
Risk Factors ◽  
Cardiovascular Disease ◽  
Endothelial Function ◽  
Blood Vessels ◽  
Clinical Features ◽  
Clinical Studies ◽  
Clinical Science ◽  
Clinical Disease ◽  
Increased Risk ◽  
The Relationship

The majority of clinical studies demonstrate that patients with hyperhomocysteinaemia have an increased risk of atherothrombotic events. However, there is a striking and poorly understood heterogeneity in the severity of clinical features in individuals with hyperhomocysteinaemia. This observation suggests that other factors must exist that modulate the relationship between hyperhomocysteinaemia and clinical disease. Therefore identifying factors that inhibit or enhance the vasculotoxic effects of homocysteine is important, as is elucidation of how homocysteine damages blood vessels. This comment discusses the study of Woodman and colleagues in this issue of Clinical Science in which they investigate the effects of hyperhomocysteinaemia on endothelial function.

scholarly journals IMPLEMENTASI DATA MINING UNTUK MENGETAHUI POLA PEMBELIAN OBAT MENGGUNAKAN ALGORITMA APRIORI

2020 ◽  
Vol 17 (2) ◽  
pp. 396-402
Author(s):  
Nadya Febrianny Ulfha ◽  
Ruhul Amin
Keyword(s):  
Data Mining ◽  
Association Rules ◽  
A Priori ◽  
Marketing Strategies ◽  
Business World ◽  
Association Pattern ◽  
Green Lake ◽  
Purchasing Patterns ◽  
The Relationship ◽  
Confidence Value

Competition in the business world requires entrepreneurs to think of finding a way or method to increase the transaction of goods sold. The purpose of this research is to provide drug stock data that is widely purchased by pharmacy customers at Kimia Farma, Green Lake branch in Jakarta. The algorithm used in this study is a priori to determine the relationship between the frequency of sales of drug brands most frequently purchased by customers. The association pattern formed with a minimum support of 40% and a minimum value of 70% confidence produces 17 association rules. The strong rules obtained are that if you buy a 500Mg Ponstan KPL @ 100, you will buy an Incidal OD 10Mg Cap with a support value of 59% and a confidence value of 84%. A priori algorithm can be used by companies to develop marketing strategies in marketing products by examining consumer purchasing patterns.

The Traffic Accidents Analysis Base on Association Rule Mining of Yuxi City in China

2014 ◽  
Vol 1030-1032 ◽  
pp. 2161-2165
Author(s):  
Shao Yun Song
Keyword(s):  
Data Mining ◽  
Association Rules ◽  
Association Rule ◽  
Traffic Accidents ◽  
Relationship Matrix ◽  
Rule Mining ◽  
Small Cities ◽  
Accident Data ◽  
Analysis System ◽  
The Relationship

According to the characteristics of small cities accident in China, selectively build data mining models. The algorithm focus on mining association rules to small cities accidents analysis system. Experiments show that the algorithm is superior to other algorithms. In this paper, the relationship matrix algorithm by using association rules on accident data, data mining, and mining results were analyzed to verify the effectiveness of the system.

scholarly journals Multilevel Association Rule Mining for Bridge Resource Management Based on Immune Genetic Algorithm

2014 ◽  
Vol 2014 ◽  
pp. 1-8
Author(s):  
Yang Ou ◽  
Zheng Jiang Liu ◽  
Hamid Reza Karimi ◽  
Ying Tian
Keyword(s):  
Genetic Algorithm ◽  
Resource Management ◽  
Association Rules ◽  
Association Rule ◽  
Association Rule Mining ◽  
Rule Mining ◽  
Immune Genetic Algorithm ◽  
Coding Scheme ◽  
The Relationship ◽  
Multilevel Association Rules

This paper is concerned with the problem of multilevel association rule mining for bridge resource management (BRM) which is announced by IMO in 2010. The goal of this paper is to mine the association rules among the items of BRM and the vessel accidents. However, due to the indirect data that can be collected, which seems useless for the analysis of the relationship between items of BIM and the accidents, the cross level association rules need to be studied, which builds the relation between the indirect data and items of BRM. In this paper, firstly, a cross level coding scheme for mining the multilevel association rules is proposed. Secondly, we execute the immune genetic algorithm with the coding scheme for analyzing BRM. Thirdly, based on the basic maritime investigation reports, some important association rules of the items of BRM are mined and studied. Finally, according to the results of the analysis, we provide the suggestions for the work of seafarer training, assessment, and management.

The Association Analysis of Technical Indicators of Shanghai Stock Market

2014 ◽  
Vol 651-653 ◽  
pp. 1651-1654
Author(s):  
Rui Zhong Wang
Keyword(s):  
Data Mining ◽  
Decision Support ◽  
Stock Market ◽  
Success Rate ◽  
Association Analysis ◽  
Association Rules ◽  
Technical Indicators ◽  
Use Of Data ◽  
Stock Market Investors ◽  
The Relationship

This paper selected as part of a number of technical indicators, the main use of data mining software for different technical indicators signal given trading technical analysis of association rules. By studying the resulting characteristics of the relationship between the rules and give the stock market investors a certain decision support, to enable investors to operate with a higher success rate.

scholarly journals The relationship between phenotype, ribotype, and clinical disease in human Clostridium difficile isolates

Anaerobe ◽  
2013 ◽  
Vol 24 ◽  
pp. 109-116 ◽  
Author(s):  
Paul E. Carlson ◽  
Seth T. Walk ◽  
Alexandra E.T. Bourgis ◽  
Melissa W. Liu ◽  
Fatos Kopliku ◽  
...  
Keyword(s):  
Clostridium Difficile ◽  
Clinical Disease ◽  
The Relationship

Discovery Algorithm of the Association Rules Based on Cloud Database

2014 ◽  
Vol 543-547 ◽  
pp. 3569-3572
Author(s):  
Tian Xiang Zhu ◽  
Xiao Lan Tian ◽  
Shu Hui Sun ◽  
Shu Jie Sun
Keyword(s):  
Data Mining ◽  
Association Rules ◽  
Association Rule ◽  
Useful Knowledge ◽  
Basic Model ◽  
Cloud Database ◽  
Cloud Databases ◽  
Numerous Data ◽  
Mining Algorithms ◽  
The Relationship

Cloud computing is the latest trend in IT technical development, the importance of cloud databases has been widely acknowledged. There are numerous data in the cloud database and among these data, much potential and valuable knowledge are implicit. The key point is to discover and pick up the useful knowledge automatically. An association rule is one of the main models in mining out these data, and it mainly focuses on the relationship among different areas in the data. This paper puts forward the basic model of data mining based on association rules in cloud database and introduces corresponding mining algorithms.

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