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Kyle A Carey

Showing results (1-10 of 50) with videos related to

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Critical Care Medicine|March 30, 2018
The Development of a Machine Learning Inpatient Acute Kidney Injury Prediction ModelJay L Koyner, Kyle A Carey, Dana P Edelson, et al.
Critical Care Medicine|October 11, 2019
Allergic Immune Diseases and the Risk of Mortality Among Patients Hospitalized for Acute InfectionPhilip A Verhoef, Sivasubramanium V Bhavani, Kyle A Carey, et al.
Plos One|August 1, 2019
Combining patient visual timelines with deep learning to predict mortalityAnoop Mayampurath, L Nelson Sanchez-Pinto, Kyle A Carey, et al.
Journal of General Internal Medicine|October 20, 2020
Measuring eHealth Literacy in Urban Hospitalized Patients: Implications for the Post-COVID WorldHanna Vollbrecht, Vineet M Arora, Sebastian Otero, et al.
Critical Care Medicine|October 1, 2019
Validation of Early Warning Scores at Two Long-Term Acute Care HospitalsMatthew M Churpek, Kyle A Carey, Nino Dela Merced, et al.
American Journal of Respiratory and Critical Care Medicine|February 22, 2019
Identifying Novel Sepsis Subphenotypes Using Temperature TrajectoriesSivasubramanium V Bhavani, Kyle A Carey, Emily R Gilbert, et al.
JAMA Network Open|January 4, 2020
Effectiveness of Virtual vs In-Person Inhaler Education for Hospitalized Patients With Obstructive Lung Disease: A Randomized Clinical TrialValerie G Press, Vineet M Arora, Colleen A Kelly, et al.
BMC Pregnancy and Childbirth|April 7, 2022
Comparison of early warning scores for predicting clinical deterioration and infection in obstetric patientsDavid E Arnolds, Kyle A Carey, Lena Braginsky, et al.
Resuscitation Plus|January 23, 2024
Predicting transfers to intensive care in children using CEWT and other early warning systemsKevin McCaffery, Kyle A Carey, Victoria Campbell, et al.
Annals of the American Thoracic Society|May 23, 2018
Predicting Intensive Care Unit Readmission with Machine Learning Using Electronic Health Record DataJuan C Rojas, Kyle A Carey, Dana P Edelson, et al.
Pageof 5

Showing results (1-10 of 50) with videos related to

Sort By:
Pageof 5
Critical Care Medicine|March 30, 2018
The Development of a Machine Learning Inpatient Acute Kidney Injury Prediction ModelJay L Koyner, Kyle A Carey, Dana P Edelson, et al.
Critical Care Medicine|October 11, 2019
Allergic Immune Diseases and the Risk of Mortality Among Patients Hospitalized for Acute InfectionPhilip A Verhoef, Sivasubramanium V Bhavani, Kyle A Carey, et al.
Plos One|August 1, 2019
Combining patient visual timelines with deep learning to predict mortalityAnoop Mayampurath, L Nelson Sanchez-Pinto, Kyle A Carey, et al.
Journal of General Internal Medicine|October 20, 2020
Measuring eHealth Literacy in Urban Hospitalized Patients: Implications for the Post-COVID WorldHanna Vollbrecht, Vineet M Arora, Sebastian Otero, et al.
Critical Care Medicine|October 1, 2019
Validation of Early Warning Scores at Two Long-Term Acute Care HospitalsMatthew M Churpek, Kyle A Carey, Nino Dela Merced, et al.
American Journal of Respiratory and Critical Care Medicine|February 22, 2019
Identifying Novel Sepsis Subphenotypes Using Temperature TrajectoriesSivasubramanium V Bhavani, Kyle A Carey, Emily R Gilbert, et al.
JAMA Network Open|January 4, 2020
Effectiveness of Virtual vs In-Person Inhaler Education for Hospitalized Patients With Obstructive Lung Disease: A Randomized Clinical TrialValerie G Press, Vineet M Arora, Colleen A Kelly, et al.
BMC Pregnancy and Childbirth|April 7, 2022
Comparison of early warning scores for predicting clinical deterioration and infection in obstetric patientsDavid E Arnolds, Kyle A Carey, Lena Braginsky, et al.
Resuscitation Plus|January 23, 2024
Predicting transfers to intensive care in children using CEWT and other early warning systemsKevin McCaffery, Kyle A Carey, Victoria Campbell, et al.
Annals of the American Thoracic Society|May 23, 2018
Predicting Intensive Care Unit Readmission with Machine Learning Using Electronic Health Record DataJuan C Rojas, Kyle A Carey, Dana P Edelson, et al.
Pageof 5