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Jonathan Elmer

Resuscitation

Showing results (1-10 of 63) with videos related to

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Resuscitation|June 24, 2023
Temperature control after cardiac arrestJonathan Elmer, Clifton W Callaway
Resuscitation|October 28, 2022
Self-fulfilling prophecies and machine learning in resuscitation scienceMaria De-Arteaga, Jonathan Elmer
Resuscitation|March 16, 2023
Paucity of neuroprognostic testing after cardiac arrest in the United StatesJonathan Elmer, Alexis Steinberg, Clifton W Callaway
Resuscitation|June 17, 2020
Are providers overconfident in predicting outcome after cardiac arrest?Alexis Steinberg, Clifton Callaway, Cameron Dezfulian, et al.
Resuscitation|February 1, 2020
Comparison of parametric and nonparametric methods for outcome prediction using longitudinal data after cardiac arrestJonathan Elmer, Bobby L Jones, Daniel S Nagin
Resuscitation|October 8, 2011
Hemoglobin-based oxygen carriers for hemorrhagic shockJonathan Elmer, Hasan B Alam, Susan R Wilcox
Resuscitation|October 24, 2022
Risk factors for development of cerebral edema following cardiac arrestArchana Hinduja, Yevgeniya Gokun, Elochukwu Ibekwe, et al.
Resuscitation|July 6, 2023
Interpretable machine learning model for imaging-based outcome prediction after cardiac arrestChang Liu, Jonathan Elmer, Dooman Arefan, et al.
Resuscitation|March 25, 2022
Metformin protects against cardiac and renal damage in diabetic cardiac arrest patientsCody A Rutledge, Brett A Kaufman, Cameron Dezfulian, et al.
Resuscitation|July 17, 2020
Data-driven classification of arrest location for emergency department cardiac arrestsNancy Mikati, Clifton W Callaway, Patrick J Coppler, et al.
Pageof 7

Showing results (1-10 of 63) with videos related to

Sort By:
Pageof 7
Resuscitation|June 24, 2023
Temperature control after cardiac arrestJonathan Elmer, Clifton W Callaway
Resuscitation|October 28, 2022
Self-fulfilling prophecies and machine learning in resuscitation scienceMaria De-Arteaga, Jonathan Elmer
Resuscitation|March 16, 2023
Paucity of neuroprognostic testing after cardiac arrest in the United StatesJonathan Elmer, Alexis Steinberg, Clifton W Callaway
Resuscitation|June 17, 2020
Are providers overconfident in predicting outcome after cardiac arrest?Alexis Steinberg, Clifton Callaway, Cameron Dezfulian, et al.
Resuscitation|February 1, 2020
Comparison of parametric and nonparametric methods for outcome prediction using longitudinal data after cardiac arrestJonathan Elmer, Bobby L Jones, Daniel S Nagin
Resuscitation|October 8, 2011
Hemoglobin-based oxygen carriers for hemorrhagic shockJonathan Elmer, Hasan B Alam, Susan R Wilcox
Resuscitation|October 24, 2022
Risk factors for development of cerebral edema following cardiac arrestArchana Hinduja, Yevgeniya Gokun, Elochukwu Ibekwe, et al.
Resuscitation|July 6, 2023
Interpretable machine learning model for imaging-based outcome prediction after cardiac arrestChang Liu, Jonathan Elmer, Dooman Arefan, et al.
Resuscitation|March 25, 2022
Metformin protects against cardiac and renal damage in diabetic cardiac arrest patientsCody A Rutledge, Brett A Kaufman, Cameron Dezfulian, et al.
Resuscitation|July 17, 2020
Data-driven classification of arrest location for emergency department cardiac arrestsNancy Mikati, Clifton W Callaway, Patrick J Coppler, et al.
Pageof 7