广义相加模型在妇幼保健数据分析中的应用

Application of generalized additive model on medical data analysis

目的:探讨广义相加模型在妇幼保健数据分析中的应用效果。方法:根据广义相加模型的建模原理对实例进行非参数拟合,并与参数拟合结果比较。结果:产前检查率、产后访视率、四苗接种率、儿童中重度住院人均补偿费用率是5岁以下儿童死亡的主要影响因素。结论:在数据不满足参数拟合条件时,广义相加模型能更有效地进行数据分析。

Objective： Exploring the effect of generalized additive model on medical data analysis. WT5 HZ Methods： The data was fitted by generalized additive model, and the result was contrasted with that fitted by multiple variable regression. Results： The prenatal examination, the postpartum visit, the four vaccines inoculation and the allowance of serious in patients less than 5 years old affected the mortality of children under 5 years mainly.. Conclusion ： Generalized additive model can be used to analyze data incapable of being fitted by parameter models.