沈阳医学院学报2025，Vol.27Issue(4)：391-395,5.DOI:10.16753/j.cnki.1008-2344.2025.04.010
基于E-CHAID算法的缺血性脑卒中住院患者DRG细分组研究
DRG subgrouping of ischemic stroke inpatients based on E-CHAID algorithm
摘要
Abstract
Objective:To analyze the influencing factors of hospitalization costs in patients with ischemic stroke,design a diagnosis related groups(DRG)subgrouping scheme,providing references for refined DRG subgrouping.Methods:Ischemic stroke patients discharged from a tertiary comprehensive hospital in Bengbu,Anhui Province from Jan 2021 to Dec 2023 were included.Through the rank-sum test and multiple linear regression analysis,the main factors influencing the hospitalization cost were analyzed.The E-CHAID algorithm was applied to construct a DRG subgrouping scheme,and the variance reduction and coefficient of variation were used to validate subgroup rationality.Results:The length of hospital stay,presence of surgical procedures,severity,and admission route were included in the decision tree model,generating 12 DRG subgroups.Both variance reduction and coefficient of variation confirmed high subgroup validity.Conclusion:The E-CHAID-based DRG subgrouping scheme for ischemic stroke inpatients is scientific and reasonable,supporting future adjustments in treatment-related grouping,hierarchical medical practices,and the fine hospital management.关键词
缺血性脑卒中/疾病诊断相关分组/决策树Key words
ischemic stroke/diagnosis related groups(DRG)/decision tree分类
医药卫生引用本文复制引用
方鑫磊,黄明智..基于E-CHAID算法的缺血性脑卒中住院患者DRG细分组研究[J].沈阳医学院学报,2025,27(4):391-395,5.基金项目
安徽省高等学校科学研究项目(No.2022AH051404) （No.2022AH051404）
