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1 Ergebnisse
1
Machine Learning to Predict ICU Admission, ICU Mortality an..:
, In:
2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
,
Dan, Tingting
;
Li, Yang
;
Zhu, Ziwei
... - p. 555-561 , 2020
Link:
https://doi.org/10.1109/BIBM49941.2020.9313292
RT T1 <cTitle>2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)</cTitle>: T1 <Title>Machine Learning to Predict ICU Admission, ICU Mortality and Survivors' Length of Stay among COVID-19 Patients: Toward Optimal Allocation of ICU Resources</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9313292&Exemplar=1&LAN=DE A1 Dan, Tingting A1 Li, Yang A1 Zhu, Ziwei A1 Chen, Xijie A1 Quan, Wuxiu A1 Hu, Yu A1 Tao, Guihua A1 Zhu, Lei A1 Zhu, Jijin A1 Jin, Yuyan A1 Li, Longgeng A1 Liang, Chaokai A1 Wen, Hanchun A1 Cai, Hongmin YR 2020 K1 Task analysis K1 COVID-19 K1 Predictive models K1 Sensitivity K1 Diseases K1 Support vector machines K1 Machine learning K1 Coronavirus Disease 2019 (COVID-19) K1 ICU admission K1 mortality K1 machine learning K1 the turnover rate of ICU SP 555 OP 561 LK http://dx.doi.org/https://doi.org/10.1109/BIBM49941.2020.9313292 DO https://doi.org/10.1109/BIBM49941.2020.9313292 SF ELIB - SuUB Bremen
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