摘要
使用决策树算法分析研究某公司的基本数据样本,挖掘隐藏在其中的对药品管理具有启示作用的重要信息,通过验证得出决策树模型总体预测正确率为86.6%,可以应用到GSP预警管理过程中进行辅助管理与决策。
The paper explores hidden important information which is of inspiration role to drug management by using decision tree method to study samples of basic data of a company.The result says that the accuracy rate of decision tree model is 86.6%and it can be used to support management and decision-making in GSP warning management process.
出处
《医学信息学杂志》
CAS
2009年第5期29-31,共3页
Journal of Medical Informatics
关键词
GSP
数据挖掘
决策树
预警管理
药品质量管理
GSP
Data mining
Decision tree
Warning management
Drug quality management
