Algorithm and Simulation of Association Rules of Drug Relationship Based on Network Model
Joint Authors
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-11-11
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Teng, Hui& Ma, Yukun& Teng, Di. 2020. Algorithm and Simulation of Association Rules of Drug Relationship Based on Network Model. Complexity،Vol. 2020, no. 2020, pp.1-14.
https://search.emarefa.net/detail/BIM-1144788
Modern Language Association (MLA)
Teng, Hui…[et al.]. Algorithm and Simulation of Association Rules of Drug Relationship Based on Network Model. Complexity No. 2020 (2020), pp.1-14.
https://search.emarefa.net/detail/BIM-1144788
American Medical Association (AMA)
Teng, Hui& Ma, Yukun& Teng, Di. Algorithm and Simulation of Association Rules of Drug Relationship Based on Network Model. Complexity. 2020. Vol. 2020, no. 2020, pp.1-14.
https://search.emarefa.net/detail/BIM-1144788
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1144788