Machine Learning Detects Intraventricular Haemorrhage in Extremely Preterm Infants †

Objective: To test the potential utility of applying machine learning methods to regional cerebral (rcSO(2)) and peripheral oxygen saturation (SpO(2)) signals to detect brain injury in extremely preterm infants. Study design: A subset of infants enrolled in the Management of Hypotension in Preterm i...

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Detalles Bibliográficos
Autores principales: Ashoori, Minoo, O’Toole, John M., O’Halloran, Ken D., Naulaers, Gunnar, Thewissen, Liesbeth, Miletin, Jan, Cheung, Po-Yin, EL-Khuffash, Afif, Van Laere, David, Straňák, Zbyněk, Dempsey, Eugene M., McDonald, Fiona B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10297241/
https://www.ncbi.nlm.nih.gov/pubmed/37371150
http://dx.doi.org/10.3390/children10060917

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10297241/
https://www.ncbi.nlm.nih.gov/pubmed/37371150
http://dx.doi.org/10.3390/children10060917

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