Related references
Note: Only part of the references are listed.Prehospital time and mortality in polytrauma patients: a retrospective analysis
E. Berkeveld et al.
BMC EMERGENCY MEDICINE (2021)
Prediction of severe chest injury using natural language processing from the electronic health record
Sujay Kulshrestha et al.
INJURY-INTERNATIONAL JOURNAL OF THE CARE OF THE INJURED (2021)
Major Causes of Preventable Death in Trauma Patients
Youngeun Park et al.
Journal of Trauma and Injury (2021)
Do clinical and paraclinical findings have the power to predict critical conditions of injured patients after traumatic injury resuscitation? Using data mining artificial intelligence
Shahram Paydar et al.
CHINESE JOURNAL OF TRAUMATOLOGY (2021)
A statistically rigorous deep neural network approach to predict mortality in trauma patients admitted to the intensive care unit
Fahad Shabbir Ahmed et al.
JOURNAL OF TRAUMA AND ACUTE CARE SURGERY (2020)
Machine learning techniques for mortality prediction in critical traumatic patients: anatomic and physiologic variables from the RETRAUCI study
Luis Servia et al.
BMC MEDICAL RESEARCH METHODOLOGY (2020)
Toward a hemorrhagic trauma severity score: fusing five physiological biomarkers
Ankita Bhat et al.
JOURNAL OF TRANSLATIONAL MEDICINE (2020)
Using the National Trauma Data Bank (NTDB) and machine learning to predict trauma patient mortality at admission
Evan J. Tsiklidis et al.
PLOS ONE (2020)
The trauma severity model: An ensemble machine learning approach to risk prediction
Michael T. Gorczyca et al.
COMPUTERS IN BIOLOGY AND MEDICINE (2019)
Dynamic multi-outcome prediction after injury: Applying adaptive machine learning for precision medicine in trauma
S. Ariane Christie et al.
PLOS ONE (2019)
Machine Learning Models of Survival Prediction in Trauma Patients
Cheng-Shyuan Rau et al.
JOURNAL OF CLINICAL MEDICINE (2019)
High-performance medicine: the convergence of human and artificial intelligence
Eric J. Topol
NATURE MEDICINE (2019)
Bayesian averaging over Decision Tree models for trauma severity scoring
V. Schetinin et al.
ARTIFICIAL INTELLIGENCE IN MEDICINE (2018)
External validation of a smartphone app model to predict the need for massive transfusion using five different definitions
E. I. Hodgman et al.
JOURNAL OF TRAUMA AND ACUTE CARE SURGERY (2018)
External validation of a smartphone app model to predict the need for massive transfusion using five different definitions
E. I. Hodgman et al.
JOURNAL OF TRAUMA AND ACUTE CARE SURGERY (2018)
A data-driven artificial intelligence model for remote triage in the prehospital environment
Dohyun Kim et al.
PLOS ONE (2018)
Survival prediction of trauma patients: a study on US National Trauma Data Bank
I. Sefrioui et al.
EUROPEAN JOURNAL OF TRAUMA AND EMERGENCY SURGERY (2017)
Decreasing the Use of Damage Control Laparotomy in Trauma: A Quality Improvement Project
John A. Harvin et al.
JOURNAL OF THE AMERICAN COLLEGE OF SURGEONS (2017)
Dynamic and Personalized Risk Forecast in Step-Down Units Implications for Monitoring Paradigms
Lujie Chen et al.
ANNALS OF THE AMERICAN THORACIC SOCIETY (2017)
Machine Learning in Medicine
Rahul C. Deo
CIRCULATION (2015)
Using an Artificial Neural Networks (ANNs) Model for Prediction of Intensive Care Unit (ICU) Outcome and Length of Stay at Hospital in Traumatic Patients
Changiz Gholipour et al.
JOURNAL OF CLINICAL AND DIAGNOSTIC RESEARCH (2015)
Pre-hospital and early in-hospital management of severe injuries: Changes and trends
Bjoern Hussmann et al.
INJURY-INTERNATIONAL JOURNAL OF THE CARE OF THE INJURED (2014)
Development and validation of a machine learning algorithm and hybrid system to predict the need for life-saving interventions in trauma patients
Nehemiah T. Liu et al.
MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING (2014)
UTILITY OF VITAL SIGNS, HEART RATE VARIABILITY AND COMPLEXITY, AND MACHINE LEARNING FOR IDENTIFYING THE NEED FOR LIFESAVING INTERVENTIONS IN TRAUMA PATIENTS
Nehemiah T. Liu et al.
SHOCK (2014)
Prediction of survival probabilities with Bayesian Decision Trees
Vitaly Schetinin et al.
EXPERT SYSTEMS WITH APPLICATIONS (2013)
Time-dependent prediction and evaluation of variable importance using superlearning in high-dimensional clinical data
Alan Hubbard et al.
JOURNAL OF TRAUMA AND ACUTE CARE SURGERY (2013)
Protocol compliance and time management in blunt trauma resuscitation
W. R. Spanjersberg et al.
EMERGENCY MEDICINE JOURNAL (2009)
Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement
David Moher et al.
PLOS MEDICINE (2009)
Decision tool for the early diagnosis of trauma patient hypovolemia
Liangyou Chen et al.
JOURNAL OF BIOMEDICAL INFORMATICS (2008)
Models developed by three techniques did not achieve acceptable prediction of binary trauma outcomes
R Wolfe et al.
JOURNAL OF CLINICAL EPIDEMIOLOGY (2006)
Combining geometric and probabilistic reasoning for computer-based penetrating-trauma assessment
OI Ogunyemi et al.
JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION (2002)
Bullet trajectory predicts the need for damage control: An artificial neural network model
A Hirschberg et al.
JOURNAL OF TRAUMA-INJURY INFECTION AND CRITICAL CARE (2002)
Computer-generated trauma management plans: Comparison with actual care
JR Clarke et al.
WORLD JOURNAL OF SURGERY (2002)
Share Paper
