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1 Ergebnisse
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Machine learning detects intraventricular haemorrhage in ex..:
Ashoori, Minoo
;
O'Toole, John M
;
O'Halloran, Ken D
...
info:eu-repo/grantAgreement/SFI/SFI Starting Investigator Research Grant/18/SIRG/5483/IE/A trilogy of stressors in the NICU: Towards therapy for preterm adversity./. , 2023
Link:
https://hdl.handle.net/10468/14897
RT Journal T1 <Title>Machine learning detects intraventricular haemorrhage in extremely preterm infants</Title> UL https://suche.suub.uni-bremen.de/peid=base-ftunivcollcork:oai:cora.ucc.ie:10468_14897&Exemplar=1&LAN=DE A1 Ashoori, Minoo A1 O'Toole, John M A1 O'Halloran, Ken D A1 Naulaers, Gunnar A1 Thewissen, Liesbeth A1 Miletin, Jan A1 Cheung, Po-Yin A1 EL-Khuffash, Afif A1 Van Laere, David A1 Straňák, Zbyněk A1 Dempsey, Eugene M A1 McDonald, Fiona B PB MDPI YR 2023 K1 Near-infrared spectroscopy (NIRS) K1 Regional cerebral oxygen saturation (rcSO2) K1 Peripheral oxygen saturation (SpO2) K1 Prolonged relative desaturation (PRD) K1 Extreme gradient boosting (XGBoost) JF info:eu-repo/grantAgreement/SFI/SFI Starting Investigator Research Grant/18/SIRG/5483/IE/A trilogy of stressors in the NICU: Towards therapy for preterm adversity./ LK http://dx.doi.org/https://hdl.handle.net/10468/14897 DO https://hdl.handle.net/10468/14897 SF ELIB - SuUB Bremen
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