Algorithm and Simulation of Association Rules of Drug Relationship Based on Network Model
المؤلفون المشاركون
المصدر
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-14، 14ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-11-11
دولة النشر
مصر
عدد الصفحات
14
التخصصات الرئيسية
الملخص 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.
نمط استشهاد جمعية علماء النفس الأمريكية (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
نمط استشهاد الجمعية الأمريكية للغات الحديثة (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
نمط استشهاد الجمعية الطبية الأمريكية (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
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1144788
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر