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Optimal Triage for COVID-19 Patients Under Limited Intensive Care Unit Capacity: Development of a Parsimonious Machine Learning Prediction Model and Threshold Optimization Using Discrete-Event Simulation

机译：Covid-19患者的最佳分类在有限的重症监护室内能力：使用离散事件仿真开发解析机器学习预测模型和阈值优化

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Jeong Min Kim; Hwa Kyung Lim; Jae-Hyeon Ahn; Kyoung Hwa Lee; Kwang Suk Lee; Kyo Chul Koo;
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年度 2021
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3. 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

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4. Planning Ward and Intensive Care Unit Beds for COVID-19 Patients Using a Discrete Event Simulation Model [C] . Daniel Garcia-Vicuña, Fermin Mallor, Laida Esparza Simulation Conference . 2020

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5. Prediction of Fluid-Responsiveness in Patients at Intensive Care Unit Using Machine Learning Modeling [D] . Radaei, Fatemeh. 2021

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6. Comparison of machine learning models for the prediction of mortality of patients with unplanned extubation in intensive care units [O] . Meng Hsuen Hsieh, Meng Ju Hsieh, Chin-Ming Chen, -1

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7. Development and Validation of a Machine-Learning Model for Prediction of Extubation Failure in Intensive Care Units [O] . Qin-Yu Zhao, Huan Wang, Jing-Chao Luo, 2021

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Optimal Triage for COVID-19 Patients Under Limited Intensive Care Unit Capacity: Development of a Parsimonious Machine Learning Prediction Model and Threshold Optimization Using Discrete-Event Simulation

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