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Comparing machine learning algorithms for predicting ICU admission and mortality in COVID-19

机译：比较机器学习算法预测Covid-19中ICU入学和死亡率

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Sonu Subudhi; Ashish Verma; Ankit B. Patel; C. Corey Hardin; Melin J. Khandekar; Hang Lee; Dustin McEvoy; Triantafyllos Stylianopoulos; Lance L. Munn; Sayon Dutta; Rakesh K. Jain;
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2. Development and Validation of a Multivariable Predictive Model for Mortality of COVID-19 Patients Demanding High Oxygen Flow at Admission to ICU: AIDA Score [J] . Marija Zdravkovic, Davor Mrda, Darko Zdravkovic, Oxidative Medicine and Cellular Longevity . 2021,第a期

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3. Machine Learning Algorithms are Superior to Conventional Regression Models in Predicting Risk Stratification of COVID-19 Patients [J] . Jiru Ye, Meng Hua, Feng Zhu Risk Management and Healthcare Policy . 2021,第a期

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4. Machine Learning to Predict ICU Admission, ICU Mortality and Survivors’ Length of Stay among COVID-19 Patients: Toward Optimal Allocation of ICU Resources [C] . Tingting Dan, Yang Li, Ziwei Zhu, IEEE International Conference on Bioinformatics and Biomedicine . 2020

机译：机器学习预测ICU入院，ICU死亡率和幸存者在Covid-19患者中的逗留时间：迈向ICU资源的最佳配置
5. Machine Learning Approach to Predict Life-Threatening Outcomes with Admit Electrocardiograms of Hospitalized Patients with COVID-19 [D] . Chen, Zih-Hua. 2021

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6. Comparing machine learning algorithms for predicting ICU admission and mortality in COVID-19 [O] . Sonu Subudhi, Ashish Verma, Ankit B. Patel, 2021

机译：比较机器学习算法预测Covid-19中ICU入学和死亡率
7. Machine Learning to Predict ICU Admission, ICU Mortality and Survivors’ Length of Stay among COVID-19 Patients: Toward Optimal Allocation of ICU Resources [O] . Tingting Dan, Yang Li, Ziwei Zhu, 2020

机译：机器学习预测ICU入院，ICU死亡率和幸存者在Covid-19患者中的逗留时间：迈向ICU资源的最佳配置

Comparing machine learning algorithms for predicting ICU admission and mortality in COVID-19

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