A data-driven model for early prediction of need for invasive mechanical ventilation in pediatric intensive care unit patients von Bose, Sanjukta N, Defante, Andrew, Greenstein, Joseph L, Haddad, Gabriel G, Ryu, Julie, Winslow, Raimond L

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SWIFT: A deep learning approach to prediction of hypoxemic events in critically-Ill patients using SpO2 waveform prediction von Annapragada, Akshaya V, Greenstein, Joseph L, Bose, Sanjukta N, Winters, Bradford D, Sarma, Sridevi V, Winslow, Raimond L

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Early Prediction of Multiple Organ Dysfunction in the Pediatric Intensive Care Unit von Bose, Sanjukta N, Greenstein, Joseph L, Fackler, James C, Sarma, Sridevi V, Winslow, Raimond L, Bembea, Melania M

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Early identification of impending cardiac arrest in neonates and infants in the cardiovascular ICU: a statistical modelling approach using physiologic monitoring data von Bose, Sanjukta N., Verigan, Adam, Hanson, Jade, Ahumada, Luis M., Ghazarian, Sharon R., Goldenberg, Neil A., Stock, Arabela, Jacobs, Jeffrey P.

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Early identification of impending cardiac arrest in neonates and infants in the cardiovascular ICU: a statistical modelling approach using physiologic monitoring data – CORRIGENDUM... von Bose, Sanjukta N., Verigan, Adam, Hanson, Jade, Ahumada, Luis M., Ghazarian, Sharon R., Goldenberg, Neil A., Stock, Arabela, Jacobs, Jeffrey P.

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SWIFT: A deep learning approach to prediction of hypoxemic events in critically-Ill patients using SpO.sub.2 waveform prediction von Annapragada, Akshaya V, Greenstein, Joseph L, Bose, Sanjukta N, Winters, Bradford D, Sarma, Sridevi V, Winslow, Raimond L

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