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Early Prediction of Mortality, Severity, and Length of Stay in the Intensive Care Unit of Sepsis Patients Based on Sepsis 3.0 by Machine Learning Models

机译：基于机器学习模型的Sepsis 3.0，早期预测死亡率，严重程度和住院时间重症监护患者的重症监护单位

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Longxiang Su; Zheng Xu; Fengxiang Chang; Yingying Ma; Shengjun Liu; Huizhen Jiang; Hao Wang; Dongkai Li; Huan Chen; Xiang Zhou; Na Hong; Weiguo Zhu; Yun Long;
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1. Early Prediction of Mortality, Severity, and Length of Stay in the Intensive Care Unit of Sepsis Patients Based on Sepsis 3.0 by Machine Learning Models [J] . Longxiang Su, Xiang Zhou, Na Hong, Frontiers in Medicine . 2021,第a期

机译：基于机器学习模型的SEPSIS 3.0，早期预测死亡率，严重程度和败血症重症监护患者重症监护单位
2. Reducing patient mortality, length of stay and readmissions through machine learning-based sepsis prediction in the emergency department, intensive care unit and hospital floor units [J] . Andrea McCoy, Ritankar Das BMJ Open Quality . 2017,第2期

机译：在急诊科，重症监护室和医院病房通过基于机器学习的败血症预测来降低患者死亡率，住院时间和再入院率
3. B-Type Natriuretic Peptide: A Predictor for Mortality, Intensive Care Unit Length of Stay, and Hospital Length of Stay in Patients With Resolving Sepsis [J] . Harsimar Singh, Daryl Ramai, Harshil Patel, Cardiology Research . 2017,第6期

机译：B型利钠肽：可解决败血症的患者的死亡率，重症监护病房住院时间和住院时间的预测指标
4. Scoring System for the One-Year Mortality Prediction of Sepsis Patients in Intensive Care Units [C] . Javier E.Garcia-Gallo, Nelson J.Fonseca-Ruiz, John F.Duitama-Munoz World Congress on Medical Physics and Biomedical Engineering . 2019

机译：重症监护单位脓毒症患者一年死亡率预测的评分系统
5. Prediction of Fluid-Responsiveness in Patients at Intensive Care Unit Using Machine Learning Modeling [D] . Radaei, Fatemeh. 2021

机译：采用机器学习建模预测重症监护室患者患者的流体响应性
6. Early Prediction of Mortality Severity and Length of Stay in the Intensive Care Unit of Sepsis Patients Based on Sepsis 3.0 by Machine Learning Models [O] . Longxiang Su, Zheng Xu, Fengxiang Chang, 2021

机译：基于机器学习模型的Sepsis 3.0早期预测死亡率严重程度和住院时间重症监护患者的重症监护单位
7. Reducing patient mortality, length of stay and readmissions through machine learning-based sepsis prediction in the emergency department, intensive care unit and hospital floor units [O] . Andrea McCoy, Ritankar Das 2017

机译：通过急诊部门，重症监护病房和医院地板单位减少基于机器学习的败血症预测，减少患者死亡率，住宿时间和再生

Early Prediction of Mortality, Severity, and Length of Stay in the Intensive Care Unit of Sepsis Patients Based on Sepsis 3.0 by Machine Learning Models

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