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Using machine learning to predict neurologic injury in venovenous extracorporeal membrane oxygenation recipients: An ELSO Registry analysis.
Kalra A, Bachina P, Shou BL, Hwang J, Barshay M, Kulkarni S, Sears I, Eickhoff C, Bermudez CA, Brodie D, Ventetuolo CE, Whitman GJR, Abbasi A, Cho SM; HERALD Group. Kalra A, et al. Among authors: shou bl. JTCVS Open. 2024 Jul 2;21:140-167. doi: 10.1016/j.xjon.2024.06.013. eCollection 2024 Oct. JTCVS Open. 2024. PMID: 39534333 Free PMC article.
Acute brain injury risk prediction models in venoarterial extracorporeal membrane oxygenation patients with tree-based machine learning: An Extracorporeal Life Support Organization Registry analysis.
Kalra A, Bachina P, Shou BL, Hwang J, Barshay M, Kulkarni S, Sears I, Eickhoff C, Bermudez CA, Brodie D, Ventetuolo CE, Kim BS, Whitman GJR, Abbasi A, Cho SM; Collaborators. Kalra A, et al. Among authors: shou bl. JTCVS Open. 2024 Jun 8;20:64-88. doi: 10.1016/j.xjon.2024.06.001. eCollection 2024 Aug. JTCVS Open. 2024. PMID: 39296456 Free PMC article.
Pulse Oximetry and Arterial Blood Gas Oxygen Saturation Discrepancies and Mortality in Extracorporeal Cardiopulmonary Resuscitation Patients: An Extracorporeal Life Support Organization Registry Analysis.
Kalra A, Wilcox C, Liu W, Feng SN, Brown P, Kim BS, Brodie D, Whitman GJR, Cho SM; Hopkins Exploration, Research, and Advancement in Life support Devices (HERALD) Group. Kalra A, et al. Crit Care Med. 2025 Aug 1;53(8):e1610-e1619. doi: 10.1097/CCM.0000000000006736. Epub 2025 Jun 16. Crit Care Med. 2025. PMID: 40521994
102 results