Predicting pediatric emergence delirium using data-driven machine learning applied to electronic health record dataset at a quaternary care pediatric hospital

dc.contributor.authorYu, Han
dc.contributor.authorSimpao, AllanFrederick
dc.contributor.authorM. Ruiz, Victor
dc.contributor.authorNelson, Olivia
dc.contributor.authorTaylor, Muhly Wallis
dc.contributor.authorTori Nicole, Sutherland
dc.contributor.authorGalvez, Julia Alejandra
dc.contributor.authorPushkar, Mykhailo
dc.contributor.authorStricker, Paul A.
dc.contributor.authorRich, Tsui Fuchiang
dc.date.accessioned2024-06-10T07:38:28Z
dc.date.available2024-06-10T07:38:28Z
dc.date.issued2023
dc.identifier.citationPredicting pediatric emergence delirium using data-driven machine learning applied to electronic health record dataset at a quaternary care pediatric hospital / H. Yu, A. F. Simpao, V. M. Ruiz, O. Nelson, W. T. Muhly, T. N. Sutherland, J. A. Gálvez, M. B. Pushkar, P. A. Stricker, F. R. Tsui // Jamia Open. –2023. – Vol. 6, issue 4. ─ ooad106. ─ DOI: 10.1093/jamiaopen/ooad106.en_US
dc.identifier.urihttps://repo.knmu.edu.ua/handle/123456789/33963
dc.language.isoenen_US
dc.subject2024а/2023en_US
dc.titlePredicting pediatric emergence delirium using data-driven machine learning applied to electronic health record dataset at a quaternary care pediatric hospitalen_US
dc.typeArticleen_US

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