Use of advanced machine-learning techniques for noninvasive monitoring of hemorrhage.
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In silico modeling: methods and applications to trauma and sepsisAccuracy of Blood Loss Measurement during Cesarean Delivery.Reductions in central venous pressure by lower body negative pressure or blood loss elicit similar hemodynamic responses.Sympathetic responses to central hypovolemia: new insights from microneurographic recordingsA Signal Processing Approach for Detection of Hemodynamic Instability before Decompensation.Computational and systems biology in trauma and sepsis: current state and future perspectives.State-of-the-art monitoring in treatment of dengue shock syndrome: a case series.Performance in the heat-physiological factors of importance for hyperthermia-induced fatigue.The physiology of blood loss and shock: New insights from a human laboratory model of hemorrhage.Comparison of compensatory reserve during lower-body negative pressure and hemorrhage in nonhuman primates.The Effect of Passive Heat Stress and Exercise-Induced Dehydration on the Compensatory Reserve During Simulated Hemorrhage.Remote damage control resuscitation and the Solstrand Conference: defining the need, the language, and a way forward.Estimation of individual-specific progression to impending cardiovascular instability using arterial waveforms.A disposable, flexible skin patch for clinical optical perfusion monitoring at multiple depths.Are you bleeding? Validation of a machine-learning algorithm for determination of blood volume status: application to remote triage.Commentaries on Viewpoint: Origin of the forward-going "backward" wave.Measurement of Compensatory Reserve Predicts Racial Differences in Tolerance to Simulated Hemorrhage in Women.A noninvasive computational method for fluid resuscitation monitoring in pediatric burns: a preliminary report.Integrated Compensatory Responses in a Human Model of Hemorrhage.Respiratory pump contributes to increased physiological reserve for compensation during simulated haemorrhage.
P2860
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P2860
Use of advanced machine-learning techniques for noninvasive monitoring of hemorrhage.
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article científic
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article scientifique
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articol științific
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articolo scientifico
@it
artigo científico
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artigo científico
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artigo científico
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artikel ilmiah
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artículo científico
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Use of advanced machine-learning techniques for noninvasive monitoring of hemorrhage.
@en
Use of advanced machine-learning techniques for noninvasive monitoring of hemorrhage.
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type
label
Use of advanced machine-learning techniques for noninvasive monitoring of hemorrhage.
@en
Use of advanced machine-learning techniques for noninvasive monitoring of hemorrhage.
@nl
prefLabel
Use of advanced machine-learning techniques for noninvasive monitoring of hemorrhage.
@en
Use of advanced machine-learning techniques for noninvasive monitoring of hemorrhage.
@nl
P2093
P1433
P1476
Use of advanced machine-learning techniques for noninvasive monitoring of hemorrhage.
@en
P2093
Carmen Hinojosa-Laborde
Gregory Z Grudic
Kathy L Ryan
Lorne H Blackbourne
Robert T Gerhardt
Steven L Moulton
Victor A Convertino
P304
P356
10.1097/TA.0B013E3182211601
P407
P433
P577
2011-07-01T00:00:00Z