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David Van Laere

Biographic Data

ID7630686
NAMEDavid Van Laere
GIVEN NAMESDavid
FAMILY NAMEVan Laere
SIGNATUREVAN LAERE D
AFFILIATIONSNeonatale Intensive Care Unit, Universitair Ziekenhuis, (UZ) Antwerp, Drie Eikenstraat 655, 2650 Antwerp, Belgium
VERIFIEDNo
TOTAL WORKS1
TOTAL CITATIONS0
WORKS AS AUTHOR1
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2023
LATEST PUBLICATION YEAR2023
H-INDEX0
  • Machine Learning Detects Intraventricular Haemorrhage in Extremely Preterm Infants

    Open Access•Minoo Ashoori, John M O’Toole et al.•ARTICLE•Children•2023

    There was a significant association between the data-driven definition of PRDs in rcSO 2 and brain injury. Automated analysis of PRDs of the cerebral NIRS signal in extremely preterm infants may aid in better prediction of IVH compared with a threshold-based approach. Further investigation of the definition of the extracted PRDs and an understanding of the physiology underlying these events are required

No prominent works on this page.

  • Machine Learning Detects Intraventricular Haemorrhage in Extremely Preterm Infants

    Open Access•Minoo Ashoori, John M O’Toole et al.•ARTICLE•Children•2023

    There was a significant association between the data-driven definition of PRDs in rcSO 2 and brain injury. Automated analysis of PRDs of the cerebral NIRS signal in extremely preterm infants may aid in better prediction of IVH compared with a threshold-based approach. Further investigation of the definition of the extracted PRDs and an understanding of the physiology underlying these events are required

Anesthesia (1 work) · Gestational age (1 work) · Internal Medicine (1 work) · Intraventricular hemorrhage (1 work) · Medicine (1 work) · Neonatal and fetal brain pathology (1 work) · Neonatal Respiratory Health Research (1 work) · Non-Invasive Vital Sign Monitoring (1 work) · Pregnancy (1 work) · Receiver operating characteristic (1 work)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae