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Matthew T Clark

Showing results (11-20 of 39) with videos related to

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Learning Health Systems|January 19, 2023
Beyond prediction: Off-target uses of artificial intelligence-based predictive analytics in a learning health systemJessica Keim-Malpass, Liza P Moorman, Oliver J Monfredi, et al.
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|December 21, 2011
Reconstruction of two-dimensional phase dynamics from experiments on coupled oscillatorsKaren A Blaha, Arkady Pikovsky, Michael Rosenblum, et al.
Physiological Measurement|March 11, 2016
Stochastic modeling of central apnea events in preterm infantsMatthew T Clark, John B Delos, Douglas E Lake, et al.
Surgery|November 30, 2016
External validation in an intermediate unit of a respiratory decompensation model trained in an intensive care unitHolly N Blackburn, Matthew T Clark, Travis J Moss, et al.
Plos One|August 4, 2017
Cardiorespiratory dynamics measured from continuous ECG monitoring improves detection of deterioration in acute care patients: A retrospective cohort studyTravis J Moss, Matthew T Clark, James Forrest Calland, et al.
Pediatric Research|August 1, 2019
Predictive analytics in the pediatric intensive care unit for early identification of sepsis: capturing the context of ageMichael C Spaeder, J Randall Moorman, Christine A Tran, et al.
Critical Care Explorations|October 16, 2020
Pathophysiologic Signatures of Bloodstream Infection in Critically Ill AdultsAlex N Zimmet, Matthew T Clark, Shrirang M Gadrey, et al.
Frontiers in Pediatrics|November 28, 2022
Signatures of illness in children requiring unplanned intubation in the pediatric intensive care unit: A retrospective cohort machine-learning studyMichael C Spaeder, J Randall Moorman, Liza P Moorman, 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 19, 2012
Predictive monitoring for early detection of subacute potentially catastrophic illnesses in critical careJ Randall Moorman, Craig E Rusin, Hoshik Lee, et al.
Physiological Measurement|September 28, 2021
External validation of a novel signature of illness in continuous cardiorespiratory monitoring to detect early respiratory deterioration of ICU patientsRachael A Callcut, Yuan Xu, J Randall Moorman, et al.
Pageof 4

Showing results (11-20 of 39) with videos related to

Sort By:
Pageof 4
Learning Health Systems|January 19, 2023
Beyond prediction: Off-target uses of artificial intelligence-based predictive analytics in a learning health systemJessica Keim-Malpass, Liza P Moorman, Oliver J Monfredi, et al.
Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics|December 21, 2011
Reconstruction of two-dimensional phase dynamics from experiments on coupled oscillatorsKaren A Blaha, Arkady Pikovsky, Michael Rosenblum, et al.
Physiological Measurement|March 11, 2016
Stochastic modeling of central apnea events in preterm infantsMatthew T Clark, John B Delos, Douglas E Lake, et al.
Surgery|November 30, 2016
External validation in an intermediate unit of a respiratory decompensation model trained in an intensive care unitHolly N Blackburn, Matthew T Clark, Travis J Moss, et al.
Plos One|August 4, 2017
Cardiorespiratory dynamics measured from continuous ECG monitoring improves detection of deterioration in acute care patients: A retrospective cohort studyTravis J Moss, Matthew T Clark, James Forrest Calland, et al.
Pediatric Research|August 1, 2019
Predictive analytics in the pediatric intensive care unit for early identification of sepsis: capturing the context of ageMichael C Spaeder, J Randall Moorman, Christine A Tran, et al.
Critical Care Explorations|October 16, 2020
Pathophysiologic Signatures of Bloodstream Infection in Critically Ill AdultsAlex N Zimmet, Matthew T Clark, Shrirang M Gadrey, et al.
Frontiers in Pediatrics|November 28, 2022
Signatures of illness in children requiring unplanned intubation in the pediatric intensive care unit: A retrospective cohort machine-learning studyMichael C Spaeder, J Randall Moorman, Liza P Moorman, 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 19, 2012
Predictive monitoring for early detection of subacute potentially catastrophic illnesses in critical careJ Randall Moorman, Craig E Rusin, Hoshik Lee, et al.
Physiological Measurement|September 28, 2021
External validation of a novel signature of illness in continuous cardiorespiratory monitoring to detect early respiratory deterioration of ICU patientsRachael A Callcut, Yuan Xu, J Randall Moorman, et al.
Pageof 4