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Larry Eshelman

Showing results (1-10 of 11) with videos related to

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Conference Proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference|February 3, 2007
Morphograms: exploiting correlation patterns to efficiently identify clinically significant events in intensive care unitsWalid Ali, Larry Eshelman
Resuscitation|November 11, 2017
Early Deterioration Indicator: Data-driven approach to detecting deterioration in general wardErina Ghosh, Larry Eshelman, Lin Yang, et al.
Data in Brief|December 22, 2017
Description of vital signs data measurement frequency in a medical/surgical unit at a community hospital in United StatesErina Ghosh, Larry Eshelman, Lin Yang, et al.
Mayo Clinic Proceedings|May 6, 2019
Automated Continuous Acute Kidney Injury Prediction and Surveillance: A Random Forest ModelCaitlyn Chiofolo, Nicolas Chbat, Erina Ghosh, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 24, 2009
Predicting ICU hemodynamic instability using continuous multiparameter trendsHanqing Cao, Larry Eshelman, Nicolas Chbat, et al.
Clinical Kidney Journal|May 7, 2021
Predicting acute kidney injury in critically ill patients using comorbid conditions utilizing machine learningKhaled Shawwa, Erina Ghosh, Stephanie Lanius, et al.
Journal of Critical Care|February 12, 2023
Accurate and interpretable prediction of ICU-acquired AKIEmma Schwager, Erina Ghosh, Larry Eshelman, et al.
Journal of the Intensive Care Society|August 27, 2019
Descriptive study of differences in acute kidney injury progression patterns in General and Cardiac Intensive Care UnitsMarcin A Pachucki, Erina Ghosh, Larry Eshelman, et al.
American Journal of Nephrology|September 27, 2021
Estimation of Baseline Serum Creatinine with Machine LearningErina Ghosh, Larry Eshelman, Stephanie Lanius, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 25, 2010
Heuristics to determine ventilation times of ICU patients from the MIMIC-II databaseHanqing Cao, K P Lee, Colleen M Ennett, et al.
Pageof 2

Showing results (1-10 of 11) with videos related to

Sort By:
Pageof 2
Conference Proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference|February 3, 2007
Morphograms: exploiting correlation patterns to efficiently identify clinically significant events in intensive care unitsWalid Ali, Larry Eshelman
Resuscitation|November 11, 2017
Early Deterioration Indicator: Data-driven approach to detecting deterioration in general wardErina Ghosh, Larry Eshelman, Lin Yang, et al.
Data in Brief|December 22, 2017
Description of vital signs data measurement frequency in a medical/surgical unit at a community hospital in United StatesErina Ghosh, Larry Eshelman, Lin Yang, et al.
Mayo Clinic Proceedings|May 6, 2019
Automated Continuous Acute Kidney Injury Prediction and Surveillance: A Random Forest ModelCaitlyn Chiofolo, Nicolas Chbat, Erina Ghosh, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 24, 2009
Predicting ICU hemodynamic instability using continuous multiparameter trendsHanqing Cao, Larry Eshelman, Nicolas Chbat, et al.
Clinical Kidney Journal|May 7, 2021
Predicting acute kidney injury in critically ill patients using comorbid conditions utilizing machine learningKhaled Shawwa, Erina Ghosh, Stephanie Lanius, et al.
Journal of Critical Care|February 12, 2023
Accurate and interpretable prediction of ICU-acquired AKIEmma Schwager, Erina Ghosh, Larry Eshelman, et al.
Journal of the Intensive Care Society|August 27, 2019
Descriptive study of differences in acute kidney injury progression patterns in General and Cardiac Intensive Care UnitsMarcin A Pachucki, Erina Ghosh, Larry Eshelman, et al.
American Journal of Nephrology|September 27, 2021
Estimation of Baseline Serum Creatinine with Machine LearningErina Ghosh, Larry Eshelman, Stephanie Lanius, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 25, 2010
Heuristics to determine ventilation times of ICU patients from the MIMIC-II databaseHanqing Cao, K P Lee, Colleen M Ennett, et al.
Pageof 2