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1 Ergebnisse
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Table_3_Predicting Flow Rate Escalation for Pediatric Patie..:
Joshua A. Krachman (11660266)
;
Jessica A. Patricoski (11660269)
;
Christopher T. Le (11660272)
...
https://figshare.com/articles/dataset/Table_3_Predicting_Flow_Rate_Escalation_for_Pediatric_Patients_on_High_Flow_Nasal_Cannula_Using_Machine_Learning_docx/16946902. , 2021
Link:
https://doi.org/10.3389/fped.2021.734753.s009
RT Journal T1
Table_3_Predicting Flow Rate Escalation for Pediatric Patients on High Flow Nasal Cannula Using Machine Learning.docx
UL https://suche.suub.uni-bremen.de/peid=base-ftsmithonian:oai:figshare.com:article_16946902&Exemplar=1&LAN=DE A1 Joshua A. Krachman (11660266) A1 Jessica A. Patricoski (11660269) A1 Christopher T. Le (11660272) A1 Jina Park (460993) A1 Ruijing Zhang (7865213) A1 Kirby D. Gong (11660275) A1 Indranuj Gangan (11660278) A1 Raimond L. Winslow (11276517) A1 Joseph L. Greenstein (11276514) A1 James Fackler (11660281) A1 Anthony A. Sochet (5195666) A1 Jules P. Bergmann (11660284) YR 2021 K1 Foetal Development and Medicine K1 Obstetrics and Gynaecology K1 Paediatrics K1 Paediatrics and Reproductive Medicine not elsewhere classified K1 high flow nasal cannula K1 flow rate escalation K1 pediatric critical care K1 non-response K1 machine learning K1 acute respiratory failure JF https://figshare.com/articles/dataset/Table_3_Predicting_Flow_Rate_Escalation_for_Pediatric_Patients_on_High_Flow_Nasal_Cannula_Using_Machine_Learning_docx/16946902 LK http://dx.doi.org/https://doi.org/10.3389/fped.2021.734753.s009 DO https://doi.org/10.3389/fped.2021.734753.s009 SF ELIB - SuUB Bremen
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