Process / pipelinePredictive modeling, Patient risk stratification
医院再入院预测模型
医院再入院预测模型利用统计学和机器学习技术，识别出院后短期内有再次入院风险的患者。这些模型指导有针对性的出院计划和随访，以改善患者结局并降低成本。
在 MethodMind 中打开即将推出Apply, compare, get guidance
Tools & resources
Learn & explore
视频即将推出
阅读完整方法
仅限会员
登录使用免费账户登录即可阅读本节。
方法图谱
相关方法的邻域——选择一个节点以展开探索。
来源
- Jencks, S. F., Williams, M. V., & Coleman, E. A. (2009). Rehospitalizations among patients in the Medicare fee-for-service program. New England Journal of Medicine, 360(14), 1418–1428. DOI: 10.1056/NEJMsa0803563 ↗
- Krumholz, H. M., Normand, S. L. T., & Wang, Y. (2014). Trends in hospitalizations and outcomes for acute myocardial infarction, 2006 to 2011. Circulation, 132(4), 362–366. link ↗
- Philbin, E. F., & DiSalvo, T. G. (1998). Prediction of hospital readmissions for heart failure: development of a simple risk score based on administrative data. Journal of the American College of Cardiology, 33(6), 1560–1566. DOI: 10.1016/s0735-1097(99)00059-5 ↗
如何引用本页
ScholarGate. (2026, June 3). Predictive Modeling for Hospital Readmission Risk and Prevention. ScholarGate. https://scholargate.app/zh/healthcare-management/hospital-readmission-model
选用哪种方法？
将本方法与其最相近的同类并置，并排研读——本馆将书籍铺陈于案上，取舍则由您定夺。
并排比较 →