摘要
目的:确定适合陕西省的疾病诊断相关组合(DGRs)分组方法。方法:以陕西省1所三级医疗机构作为研究对象,在ICD-10国际疾病编码的基础上,用决策树模型修正的交互卡方自动检验(E-CHAID)对其3年间198 121例病案首页数据进行分组。结果:共形成695个DRGs组合。结论:E-CHAID决策树分类方法用于DRGs分组可行且有效。
Objective： To determine a suitable Diagnosis Related Groups method for Shaanxi Province. Methods： Selecting a tertiary hospital of Shaanxi Province as the researcb object. Then, based on the international Classification of diseases （ICD-10）, 198 121 medical record data are divided into groups by Exhaustive Chi-squared Automatic Interaction Detector methods. Results： 695 DRGs groups were formed. Conclusion： Exhaustive Chi-squared Automatic Interaction Detector method was proved feasible and effective used on the Diagnosis Related Groups.
出处
《中国卫生经济》
北大核心
2013年第1期19-21,共3页
Chinese Health Economics
基金
美国中华医学基金会(CMB)项目资助(G09-986)
关键词
疾病诊断相关分组
修正的交互式卡方自动检验
陕西
Diagnosis Related Groups
exhaustive CHi-squared automatic interaction detector methods
Shaanxi
