大数据分析构建儿科门诊预警机制的研究

Big Data Analysis Research of Pediatric Outpatient Building Early Warning Mechanism

为优化儿科门诊服务流程,构建更合理的预警机制,对儿科门诊海量数据采用大数据分析技术,构建一元线性回归模型,通过不同的预测分析法,研究儿科日门诊量与医生出诊人次之间的关联关系,有效掌握数据的变动趋势,从而可以实现具有一定容错机制的预测模型,进而更加合理地实现配置医疗资源的目的。

In order to optimize the service process of pediatric outpatient clinics and build a more reasonably early warning mechanism,big data analysis technology is used for the massive data of pediatric outpatient clinics,and a unary linear regression model is constructed.Through different predictive analysis method,the number of pediatric outpatient clinics and the number of doctor visits are studied.The relationship between them can effectively grasp the trend of data changes,so that a predictive model with a certain fault tolerance mechanism can be realized,and the purpose of allocating medical resources can be realized more reasonably.