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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 <Title>Table_3_Predicting Flow Rate Escalation for Pediatric Patients on High Flow Nasal Cannula Using Machine Learning.docx</Title>

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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