Development and validation of a time-dependent risk model for predicting mortality in infective endocarditis

Raymond W. Sy; Chirapan Chawantanpipat; David R. Richmond

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Development and validation of a time-dependent risk model for predicting mortality in infective endocarditis

机译：建立并验证传染性心内膜炎死亡率的时间依赖性风险模型

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《European Heart Journal》 |2011年第16期|p.2016-2026|共11页
作者
Raymond W. Sy; Chirapan Chawantanpipat; David R. Richmond;
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作者单位

Department of Cardiology, 3rd floor West, Concord Repatriation General Hospital, Sydney South Western Area Health Service, University of Sydney, Hospital Rd, Concord, NSW 2139, Australia|Department of Cardiology, Royal Prince Alfred Hospital, Sydney South Western Area Health Service, University of Sydney, Sydney, NSW, Australia;

Department of Cardiology, Royal Prince Alfred Hospital, Sydney South Western Area Health Service, University of Sydney, Sydney, NSW, Australia;

Department of Cardiology, Royal Prince Alfred Hospital, Sydney South Western Area Health Service, University of Sydney, Sydney, NSW, Australia;

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1. Development and validation of a time-dependent risk model for predicting mortality in infective endocarditis. [J] . Sy RW, Chawantanpipat C, Richmond DR, European Heart Journal: The Journal of the European Society of Cardiology . 2011,第16期

机译：开发和验证一种预测感染性心内膜炎死亡率的时间依赖性风险模型。
2. External validation of the new predictive model for early mortality after surgical treatment of infective endocarditis: Analysis of the reliability of EndoSCORE [J] . Varela Barca Laura, Lopez-Menendez Jose, Redondo Palacios Ana, International Journal of Cardiology . 2018,第期

机译：感染性心内膜炎外科治疗后早期死亡率的新预测模型的外部验证：腹腔内摩托的可靠性分析
3. MARKER-HF (Machine Learning Assessment of RisK and EaRly mortality inHeart Failure): Development and Validation of a Novel Model MARKER-HF (Machine Learning Assessment of RisK and EaRly mortality inHeart Failure): Development and Validation of a Novel Model that AccuratelyIdentifies High Risk Heart Failure Patientsthat AccuratelyIdentifies High Risk Heart Failure Patients [J] . Eric Adler, Barry Greenberg, Oscar Braun, Journal of cardiac failure . 2018,第8期

机译：Marker-HF（风险和早期死亡率的机器学习评估失败）：开发和验证一种新型模型标记-HF（机器学习评估风险和早期死亡率无失败）：精确识别高风险的新型模型的开发和验证心力衰竭患者精确识别高风险心力衰竭患者
4. Development and validation of a simple heat-accumulation model for predicting mortality of first instars of Tribolium castaneum (Herbst) exposed to elevated temperatures [C] . Bhadriraju Subramanyam, Paul W. Flinn, Rizana Mahroof International Working Conference on Stored Product Protection . 2003

机译：简单蓄热模型的开发与验证预测柴油汤（草药）暴露于升高温度的第一次龄（草药）的死亡率
5. A multi-state model to predict heart failure hospitalizations and all-cause mortality in outpatients with heart failure with reduced ejection fraction: Model derivation and internal validation. [D] . Upshaw, Jenica N. 2015

机译：预测射血分数降低的心力衰竭门诊患者的心力衰竭住院和全因死亡率的多状态模型：模型推导和内部验证。
6. Validated Risk Score for Predicting 6‐Month Mortality in Infective Endocarditis [O] . Lawrence P. Park, Vivian H. Chu, Gail Peterson, 2016

机译：经验证的风险分数可预测感染性心内膜炎的6个月死亡率
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Development and validation of a time-dependent risk model for predicting mortality in infective endocarditis

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