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Electronic medical record-based multicondition models to predict the risk of 30 day readmission or death among adult medicine patients: validation and comparison to existing models

机译：基于电子病历的多条件模型可预测成年医学患者30天再入院或死亡的风险：与现有模型的验证和比较

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2. Electronic medical record-based multicondition models to predict the risk of 30 day readmission or death among adult medicine patients: validation and comparison to existing models [J] . Ruben Amarasingham, Ferdinand Velasco, Bin Xie, BMC Medical Informatics and Decision Making . 2015,第1期

机译：基于电子病历的多条件模型可预测成年医学患者30天再入院或死亡的风险：与现有模型的验证和比较
3. An electronic medical record-based model to predict 30-day risk of readmission and death among HIV-infected inpatients. [J] . Ank E Nijhawan, Christopher Clark, Richard Kaplan, JAIDS: Journal of acquired immune deficiency syndromes . 2012,第3期

机译：一种基于电子病历的模型，可以预测感染了HIV的住院患者30天内再次入院和死亡的风险。
4. Electronic medical record-based model to predict the risk of 90-day readmission for patients with heart failure [J] . Bo-yu Tan, Jun-yuan Gu, Hong-yan Wei, BMC Medical Informatics and Decision Making . 2019,第1期

机译：基于电子病历的模型可预测心力衰竭患者90天再入院的风险
5. A Predictive Model to Identify Patients at Risk of Unplanned 30-Day Acute Care Hospital Readmission [C] . Lemke Klaus IEEE International Conference on Healthcare Informatics . 2013

机译：识别有计划外30天急性护理医院再次入院风险的患者的预测模型
6. Developing Clinical Prediction Models for 30-day Readmission in the General and Medically Complex Pediatric Populations [D] . Leary, Jana C. 2018

机译：在一般和医学复杂的儿科人群中开发30天休息室的临床预测模型
7. Electronic medical record-based multicondition models to predict the risk of 30 day readmission or death among adult medicine patients: validation and comparison to existing models [O] . Ruben Amarasingham, Ferdinand Velasco, Bin Xie, 2015

机译：基于电子病历的多条件模型可预测成年医学患者30天再入院或死亡的风险：与现有模型的验证和比较
8. A machine learning model to predict the risk of 30-day readmissions in patients with heart failure: a retrospective analysis of electronic medical records data [O] . Sara Bersche Golas, Takuma Shibahara, Stephen Agboola, 2018

机译：一种机器学习模型，以预测心力衰竭患者30天入伍的风险：电子医疗记录数据的回顾性分析

Electronic medical record-based multicondition models to predict the risk of 30 day readmission or death among adult medicine patients: validation and comparison to existing models

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