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Dana P Edelson

Showing results (71-80 of 125) with videos related to

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Annals of Surgery|May 15, 2019
Validating the Electronic Cardiac Arrest Risk Triage (eCART) Score for Risk Stratification of Surgical Inpatients in the Postoperative Setting: Retrospective Cohort StudyBartlomiej Bartkowiak, Ashley M Snyder, Andrew Benjamin, et al.
Journal of Hospital Medicine|September 17, 2015
Comparison of mental-status scales for predicting mortality on the general wardsFrank J Zadravecz, Linda Tien, Brian J Robertson-Dick, et al.
Journal of Hospital Medicine|February 20, 2014
Hospital cardiac arrest resuscitation practice in the United States: a nationally representative surveyDana P Edelson, Trevor C Yuen, Mary E Mancini, et al.
Chest|December 24, 2011
Early cardiac arrest in patients hospitalized with pneumonia: a report from the American Heart Association's Get With The Guidelines-Resuscitation ProgramGordon E Carr, Trevor C Yuen, John F McConville, et al.
Journal of Hospital Medicine|February 17, 2016
Testing the functional assessment of mentation: A mobile application based assessment of mental statusDavid E Hamilton, Valerie G Press, Nicole M Twu, et al.
Resuscitation|September 1, 2018
Characteristics and outcomes of maternal cardiac arrest: A descriptive analysis of Get with the guidelines dataCarolyn M Zelop, Sharon Einav, Jill M Mhyre, et al.
Clinical Journal of the American Society of Nephrology : CJASN|April 15, 2025
Multicenter Development and Validation of a Multimodal Deep Learning Model to Predict Moderate to Severe AKIJay L Koyner, Jennie Martin, Kyle A Carey, et al.
JAMA|January 20, 2005
Quality of cardiopulmonary resuscitation during in-hospital cardiac arrestBenjamin S Abella, Jason P Alvarado, Helge Myklebust, et al.
Resuscitation|May 18, 2021
Factors associated with non-survival from in-hospital maternal cardiac arrest: An analysis of Get With The Guidelines® (GWTG) dataCarolyn M Zelop, Richard E Shaw, Dana P Edelson, et al.
JMIR AI|July 3, 2025
Comparison of Deep Learning Approaches Using Chest Radiographs for Predicting Clinical Deterioration: Retrospective Observational StudyMahmudur Rahman, Jifan Gao, Kyle A Carey, et al.
Pageof 13

Showing results (71-80 of 125) with videos related to

Sort By:
Pageof 13
Annals of Surgery|May 15, 2019
Validating the Electronic Cardiac Arrest Risk Triage (eCART) Score for Risk Stratification of Surgical Inpatients in the Postoperative Setting: Retrospective Cohort StudyBartlomiej Bartkowiak, Ashley M Snyder, Andrew Benjamin, et al.
Journal of Hospital Medicine|September 17, 2015
Comparison of mental-status scales for predicting mortality on the general wardsFrank J Zadravecz, Linda Tien, Brian J Robertson-Dick, et al.
Journal of Hospital Medicine|February 20, 2014
Hospital cardiac arrest resuscitation practice in the United States: a nationally representative surveyDana P Edelson, Trevor C Yuen, Mary E Mancini, et al.
Chest|December 24, 2011
Early cardiac arrest in patients hospitalized with pneumonia: a report from the American Heart Association's Get With The Guidelines-Resuscitation ProgramGordon E Carr, Trevor C Yuen, John F McConville, et al.
Journal of Hospital Medicine|February 17, 2016
Testing the functional assessment of mentation: A mobile application based assessment of mental statusDavid E Hamilton, Valerie G Press, Nicole M Twu, et al.
Resuscitation|September 1, 2018
Characteristics and outcomes of maternal cardiac arrest: A descriptive analysis of Get with the guidelines dataCarolyn M Zelop, Sharon Einav, Jill M Mhyre, et al.
Clinical Journal of the American Society of Nephrology : CJASN|April 15, 2025
Multicenter Development and Validation of a Multimodal Deep Learning Model to Predict Moderate to Severe AKIJay L Koyner, Jennie Martin, Kyle A Carey, et al.
JAMA|January 20, 2005
Quality of cardiopulmonary resuscitation during in-hospital cardiac arrestBenjamin S Abella, Jason P Alvarado, Helge Myklebust, et al.
Resuscitation|May 18, 2021
Factors associated with non-survival from in-hospital maternal cardiac arrest: An analysis of Get With The Guidelines® (GWTG) dataCarolyn M Zelop, Richard E Shaw, Dana P Edelson, et al.
JMIR AI|July 3, 2025
Comparison of Deep Learning Approaches Using Chest Radiographs for Predicting Clinical Deterioration: Retrospective Observational StudyMahmudur Rahman, Jifan Gao, Kyle A Carey, et al.
Pageof 13