original ) (raw )Probabilistic Prediction of Increased Intracranial Pressure in Patients With Severe Traumatic Brain Injury
Priyantha Wijayatunga
2021
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Improving Prediction of Favourable Outcome After 6 Months in Patients with Severe Traumatic Brain Injury Using Physiological Cerebral Parameters in a Multivariable Logistic Regression Model
Joukje van der Naalt
Neurocritical Care
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Features derived from blood pressure and intracranial pressure predict elevated intracranial pressure events in critically ill children
Lokesh Chinthala
Scientific Reports
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Features Derived From Blood Pressure Predict Elevated Intracranial Pressure in Critically Ill Children
Lokesh Chinthala
2021
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Assessing the Prediction Potential of An In Silico Computer Model of Intracranial Pressure Dynamics*
Wayne Wakeland
Critical care …, 2009
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Machine Learning-Based Continuous Intracranial Pressure Prediction for Traumatic Injury Patients
John Li
IEEE Journal of Translational Engineering in Health and Medicine
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A Computational Model to Predict Brain Trauma Outcome in the Intensive Care Unit
Samiksha Ramesh
medRxiv, 2020
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Intracranial Pressure of Patients After Severe Traumatic Brain Injury : A Pilot Study for Lethality Estimation from Time Series
Michal Teplan
2014
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Noninvasive Intracranial Pressure Waveforms for Estimation of Intracranial Hypertension and Outcome Prediction in Acute Brain-Injured Patients
Marcia Yoshikawa
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Contribution of non-neurologic disturbances in acute physiology to the prediction of intensive care outcome after head injury or non-traumatic intracranial haemorrhage
Juha Hernesniemi
Intensive Care Medicine, 1994
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Intracranial pressure monitoring in intensive care: clinical advantages of a computerized system over manual recording
Sabina Losappio
Critical care (London, England), 2007
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Prehospital Heart Rate and Blood Pressure Increase the Positive Predictive Value of the Glasgow Coma Scale for High-Mortality Traumatic Brain Injury
Kamal Kumar
Journal of Neurotrauma, 2014
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Comparative Effectiveness of Intracranial Pressure Monitoring on 6-Month Outcomes of Critically Ill Patients With Traumatic Brain Injury
Paola Fassini
JAMA Network Open
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Predicting outcome in severe traumatic brain injury using a simple prognostic model
Corrie Uys , Simpiwe Sobuwa
South African Medical Journal, 2014
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Predicting six-month mortality of patients with traumatic brain injury: usefulness of common intensive care severity scores
Rahul Raj
Critical Care, 2014
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ICU Outcome Predictions using Physiologic Trends in the First Two Days
Mehmet Kayaalp
Computing in cardiology, 2012
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Prediction of in-hospital mortality in patients on mechanical ventilation post traumatic brain injury: machine learning approach
Adam Fadlalla
BMC Medical Informatics and Decision Making, 2020
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Intracranial Pressure Monitoring in Brain-Injured Patients is Associated With Worsening of Survival
Shahid Shafi
Journal of Trauma: Injury, Infection & Critical Care, 2008
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Autoregulation monitoring and outcome prediction in neurocritical care patients: Does one index fit all?
Damian McLeod
Journal of clinical monitoring and computing, 2015
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Analysis of Normal High-Frequency Intracranial Pressure Values and Treatment Threshold in Neurocritical Care Patients
Lara Zimmermann
JAMA Neurology, 2020
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Predicting outcome after traumatic brain injury: practical prognostic models based on large cohort of international patients
rahul raj
BMJ, 2008
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Prediction of outcome after moderate and severe traumatic brain injury
Andrew Maas
Critical Care Medicine, 2012
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Can a new noninvasive method for assessment of intracranial pressure predict intracranial hypertension and prognosis?
Ricardo Santos de Oliveira
Acta Neurochirurgica
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Outcome Prediction after Traumatic Brain Injury: Comparison of the Performance of Routinely Used Severity Scores and Multivariable Prognostic Models
Martin Rusnak
Journal of Neurosciences in Rural Practice, 2017
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Hospital acquired pressure injury prediction in surgical critical care patients
Mollie Cummins
BMC Medical Informatics and Decision Making, 2021
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Using trauma registry data to predict prolonged mechanical ventilation in patients with traumatic brain injury: Machine learning approach
Adam Fadlalla
PLOS ONE, 2020
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Noninvasive Intracranial Pressure Assessment Based on a Data-Mining Approach Using a Nonlinear Mapping Function
Robert Fontana
IEEE Transactions on Biomedical Engineering, 2012
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Feature clustering of intracranial pressure time-series for an alarm function estimation in traumatic brain injury
Ivan Bajla
Physiological Measurement, 2017
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A trial of intracranial pressure monitoring in traumatic brain injury
Walter Videtta
Critical Care, 2014
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