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Nehemiah T Liu

Showing results (1-10 of 25) with videos related to

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The Journal of Trauma and Acute Care Surgery|December 17, 2015
Machine learning and new vital signs monitoring in civilian en route care: A systematic review of the literature and future implications for the militaryNehemiah T Liu, Jose Salinas
Shock (Augusta, Ga.)|May 13, 2017
Machine Learning for Predicting Outcomes in TraumaNehemiah T Liu, Jose Salinas
Burns : Journal of the International Society for Burn Injuries|August 3, 2015
Machine learning in burn care and research: A systematic review of the literatureNehemiah T Liu, Jose Salinas
The Journal of Trauma and Acute Care Surgery|April 29, 2017
Inefficacy of standard vital signs for predicting mortality and the need for prehospital life-saving interventions in blunt trauma patients transported via helicopter: A repeated call for new measuresNehemiah T Liu, John B Holcomb, Charles E Wade, et al.
Shock (Augusta, Ga.)|February 19, 2015
Improving the prediction of mortality and the need for life-saving interventions in trauma patients using standard vital signs with heart-rate variability and complexityNehemiah T Liu, John B Holcomb, Charles E Wade, et al.
Journal of Clinical Monitoring and Computing|August 31, 2013
Reliable real-time calculation of heart-rate complexity in critically ill patients using multiple noisy waveform sourcesNehemiah T Liu, Leopoldo C Cancio, Jose Salinas, et al.
Computers in Biology and Medicine|November 12, 2013
The impact of noise on the reliability of heart-rate variability and complexity analysis in trauma patientsNehemiah T Liu, Andriy I Batchinsky, Leopoldo C Cancio, et al.
Journal of Burn Care & Research : Official Publication of the American Burn Association|April 11, 2018
Trend Analysis of Current Modalities for Monitoring Fluid Therapy in Patients With Large Burns: Echoing the Call for Better Resuscitation IndicesNehemiah T Liu, Leopoldo C Cancio, Maria L Serio-Melvin, et al.
Journal of Medical Engineering & Technology|June 20, 2015
Data quality of a wearable vital signs monitor in the pre-hospital and emergency departments for enhancing prediction of needs for life-saving interventions in trauma patientsNehemiah T Liu, John B Holcomb, Charles E Wade, et al.
The Journal of Trauma and Acute Care Surgery|July 2, 2015
Is heart-rate complexity a surrogate measure of cardiac output before, during, and after hemorrhage in a conscious sheep model of multiple hemorrhages and resuscitation?Nehemiah T Liu, George C Kramer, Muzna N Khan, et al.
Pageof 3

Showing results (1-10 of 25) with videos related to

Sort By:
Pageof 3
The Journal of Trauma and Acute Care Surgery|December 17, 2015
Machine learning and new vital signs monitoring in civilian en route care: A systematic review of the literature and future implications for the militaryNehemiah T Liu, Jose Salinas
Shock (Augusta, Ga.)|May 13, 2017
Machine Learning for Predicting Outcomes in TraumaNehemiah T Liu, Jose Salinas
Burns : Journal of the International Society for Burn Injuries|August 3, 2015
Machine learning in burn care and research: A systematic review of the literatureNehemiah T Liu, Jose Salinas
The Journal of Trauma and Acute Care Surgery|April 29, 2017
Inefficacy of standard vital signs for predicting mortality and the need for prehospital life-saving interventions in blunt trauma patients transported via helicopter: A repeated call for new measuresNehemiah T Liu, John B Holcomb, Charles E Wade, et al.
Shock (Augusta, Ga.)|February 19, 2015
Improving the prediction of mortality and the need for life-saving interventions in trauma patients using standard vital signs with heart-rate variability and complexityNehemiah T Liu, John B Holcomb, Charles E Wade, et al.
Journal of Clinical Monitoring and Computing|August 31, 2013
Reliable real-time calculation of heart-rate complexity in critically ill patients using multiple noisy waveform sourcesNehemiah T Liu, Leopoldo C Cancio, Jose Salinas, et al.
Computers in Biology and Medicine|November 12, 2013
The impact of noise on the reliability of heart-rate variability and complexity analysis in trauma patientsNehemiah T Liu, Andriy I Batchinsky, Leopoldo C Cancio, et al.
Journal of Burn Care & Research : Official Publication of the American Burn Association|April 11, 2018
Trend Analysis of Current Modalities for Monitoring Fluid Therapy in Patients With Large Burns: Echoing the Call for Better Resuscitation IndicesNehemiah T Liu, Leopoldo C Cancio, Maria L Serio-Melvin, et al.
Journal of Medical Engineering & Technology|June 20, 2015
Data quality of a wearable vital signs monitor in the pre-hospital and emergency departments for enhancing prediction of needs for life-saving interventions in trauma patientsNehemiah T Liu, John B Holcomb, Charles E Wade, et al.
The Journal of Trauma and Acute Care Surgery|July 2, 2015
Is heart-rate complexity a surrogate measure of cardiac output before, during, and after hemorrhage in a conscious sheep model of multiple hemorrhages and resuscitation?Nehemiah T Liu, George C Kramer, Muzna N Khan, et al.
Pageof 3