摘要
针对全国统一大市场背景下药品市场的问题,根据医药行业的八项评价指标体系,通过皮尔森相关系数得出八项评价指标体系与经济运行质量的具体关系.通过BP神经网络预测模型量化市场统一的程度,得出各省份药品市场的提升空间和药品市场存在的关键问题.利用2019~2023年相关数据,建立GM(1,1)灰色预测模型,得出判别问题的解决途径.
Aiming at the problems of the drug market under the background of the national unified big market,according to the eight evaluation index system of the pharmaceutical industry,the specific relationship between the eight evaluation index system and the quality of economic operation was obtained through the Pearson correlation coefficient.Through the BP neural network prediction model,the degree of market unification was quantified,and the improvement space and key problems of the drug market in each province were obtained.Based on the relevant data from 2019 to 2023,the GM(1,1)grey prediction model is established to find the solution to the discrimination problem.
作者
解慧
张建国
王丹华
杨鹏
宋丽芳
周倩宇
Xie Hui;Zhang JianGuo;Wang DanHua;Yang Peng;Song LiFang;Zhou QianYu(Mathematics Department,Jinzhong University,Jinzhong Shanxi 030619,China;Physics Department,Jinzhong University,Jinzhong Shanxi 030619,China)
出处
《晋中学院学报》
2024年第3期25-30,共6页
Journal of Jinzhong University