Predictive models of the risk of hospital admission and re-admission: current and future development

Stephen Sutch; Klaus Lemke; Chad Abrams

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Predictive models of the risk of hospital admission and re-admission: current and future development

机译：住院和再入院风险的预测模型：当前和未来的发展

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《BMC Health Services Research》 |2015年第2期|共页
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Stephen Sutch; Klaus Lemke; Chad Abrams;
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中图分类医药、卫生;
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1. Predictive models of the risk of hospital admission and re-admission: current and future development [J] . Stephen Sutch, Klaus Lemke, Chad Abrams BMC Health Services Research . 2015,第SUPPLEMENTa2期

机译：住院和再入院风险的预测模型：当前和未来的发展
2. Development of a predictive model to identify inpatients at risk of re-admission within 30?days of discharge (PARR-30) [J] . Adam Steventon, Geraint Lewis, Ian Blunt, BMJ Open . 2012,第4期

机译：建立预测模型以识别出院后30天内有再次入院风险的住院患者（PARR-30）
3. Frailty and Sarcopenia Assessment upon Hospital Admission to Internal Medicine Predicts Length of Hospital Stay and Re-Admission: A Prospective Study of 980 Patients [J] . Sapir Anani, Gal Goldhaber, Adi Brom, Journal of Clinical Medicine . 2020,第8期

机译：医院入院的脆弱和康迟腺尼亚评估预测住院时间和重新入场的长度：对980名患者的前瞻性研究
4. Predicting Hospital Re-admissions from Nursing Care Data of Hospitalized Patients [C] . Muhammad K Lodhi, Rashid Ansari, Yingwei Yao, International conference on data mining . 2017

机译：根据住院患者的护理数据预测医院的再次入院
5. Health information technology in US hospitals: Analysis of current status and development of future strategies [D] . Kim, Jungyeon. 2015

机译：美国医院的健康信息技术：现状分析和未来战略发展
6. Predictive models of the risk of hospital admission and re-admission: current and future development [O] . Stephen Sutch, Klaus Lemke, Chad Abrams 2015

机译：住院和再入院风险的预测模型：当前和未来的发展
7. Development of a predictive model to identify inpatients at risk of re-admission within 30 days of discharge (PARR-30) [O] . John Billings, Ian Blunt, Adam Steventon, 2012

机译：开发预测模型，以在发布后30天内识别住院患者的患者（PARR-30）

Predictive models of the risk of hospital admission and re-admission: current and future development

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