Unsupervised data mining technology based on research of stroke medication rules and discovery of prescription

التفاصيل البيبلوغرافية
العنوان: Unsupervised data mining technology based on research of stroke medication rules and discovery of prescription
المؤلفون: Xujie Yu, Jingwei Liu, Xinjie Li, Wei Cong, Mingqi Wang, Zhenhua Jia, Hebei Yiling, Xiaoyan Li
المصدر: African Journal of Pharmacy and Pharmacology. 6
بيانات النشر: Academic Journals, 2012.
سنة النشر: 2012
مصطلحات موضوعية: Pharmacology, Drug pair, business.industry, Sorting, Pharmaceutical Science, medicine.disease, computer.software_genre, ComputingMethodologies_PATTERNRECOGNITION, Medicine, Data mining, Medical prescription, business, Stroke, computer, Analysis method, Computer technology
الوصف: For collecting and sorting literature on treatment of ancient and modern stroke at the entry point, frequency and charts analysis methods were applied. Modern computer technology and statistics were used to do in-depth study of stroke literature data, explore stroke differentiation of symptoms and signs and regular treatment by ancient physicians. On this basis, the unsupervised data mining technology was applied to obtain each syndrome commonly used for drug pair and combination of core. In assembling empirically drug pair and combination of core, 3 new prescriptions were obtained for each syndrome. Key words: Unsupervised data mining, stroke, medication rules, new prescription.
تدمد: 1996-0816
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::c1cc177835cb41492b43d52415fcdf8c
https://doi.org/10.5897/ajpp12.638
حقوق: OPEN
رقم الأكسشن: edsair.doi...........c1cc177835cb41492b43d52415fcdf8c
قاعدة البيانات: OpenAIRE