AIMC Topic: Injury Severity Score

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Bayesian averaging over Decision Tree models for trauma severity scoring.

Artificial intelligence in medicine Dec 21, 2017
Health care practitioners analyse possible risks of misleading decisions and need to estimate and quantify uncertainty in predictions. We have examined the "gold" standard of screening a patient's conditions for predicting survival probability, based...
Humans Artificial Intelligence Decision Support Techniques Databases, Factual Prognosis Clinical Decision-Making Female Risk Factors Male Predictive Value of Tests Risk Assessment Bayes Theorem Decision Support Systems, Clinical Markov Chains Logistic Models Injury Severity Score United States Monte Carlo Method Decision Trees Wounds and Injuries
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Abdominal compartment syndrome in traumatic hemorrhagic shock: is there a fluid resuscitation inflection point associated with increased risk?

American journal of surgery Dec 31, 2015
BACKGROUND: The volume of fluid administered during trauma resuscitation correlates with the risk of abdominal compartment syndrome (ACS). The exact volume at which this risk rises is uncertain. We established the inflection point for ACS risk during...
Treatment Outcome Adult Lactates Fluid Therapy Humans Male International Normalized Ratio Shock, Hemorrhagic Retrospective Studies Length of Stay Injury Severity Score Wounds, Nonpenetrating Abdomen Compartment Syndromes Female United States Risk Factors
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Statistical Machines for Trauma Hospital Outcomes Research: Application to the PRospective, Observational, Multi-Center Major Trauma Transfusion (PROMMTT) Study.

PloS one Aug 21, 2015
Improving the treatment of trauma, a leading cause of death worldwide, is of great clinical and public health interest. This analysis introduces flexible statistical methods for estimating center-level effects on individual outcomes in the context of...
Outcome Assessment, Health Care Survival Analysis Humans Hemorrhage Machine Learning Injury Severity Score Prospective Studies Adult Trauma Centers Blood Component Transfusion Female Male Middle Aged Hospital Mortality Multiple Trauma
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Predictive modeling in pediatric traumatic brain injury using machine learning.

BMC medical research methodology Mar 17, 2015
BACKGROUND: Pediatric traumatic brain injury (TBI) constitutes a significant burden and diagnostic challenge in the emergency department (ED). While large North American research networks have derived clinical prediction rules for the head injured ch...
Vomiting Unconsciousness Population Surveillance Accidents, Traffic Skull Fractures Multivariate Analysis Injury Severity Score Child ROC Curve Retrospective Studies Logistic Models Tomography, X-Ray Computed Models, Theoretical Female Brain Injuries Male Case-Control Studies Humans Child, Preschool Machine Learning Algorithms Databases, Factual
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Automated stratification of trauma injury severity across multiple body regions using multi-modal, multi-class machine learning models.

Journal of the American Medical Informatics Association : JAMIA May 20, 2024
OBJECTIVE: The timely stratification of trauma injury severity can enhance the quality of trauma care but it requires intense manual annotation from certified trauma coders. The objective of this study is to develop machine learning models for the st...
Electronic Health Records Natural Language Processing Registries Injury Severity Score Wounds and Injuries Trauma Severity Indices Humans Machine Learning
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Electronic health record machine learning model predicts trauma inpatient mortality in real time: A validation study.

The journal of trauma and acute care surgery Jan 1, 2022
INTRODUCTION: Patient outcome prediction models are underused in clinical practice because of lack of integration with real-time patient data. The electronic health record (EHR) has the ability to use machine learning (ML) to develop predictive model...
Middle Aged Risk Assessment Hospital Mortality United States Predictive Value of Tests Registries Humans Machine Learning Prognosis Electronic Health Records Female Male Critical Care Injury Severity Score Wounds and Injuries
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Predicting outcomes after trauma: Prognostic model development based on admission features through machine learning.

Medicine Dec 10, 2021
In an overcrowded emergency department (ED), trauma surgeons and emergency physicians need an accurate prognostic predictor for critical decision-making involving patients with severe trauma. We aimed to develope a machine learning-based early progno...
Humans Machine Learning Prognosis Male Middle Aged Taiwan Emergency Medical Services Injury Severity Score Patient Admission Retrospective Studies Female Aged Aged, 80 and over Adult Wounds and Injuries Glasgow Coma Scale
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Are rib fractures stable? An analysis of progressive rib fracture offset in the acute trauma setting.

The journal of trauma and acute care surgery Dec 1, 2021
BACKGROUND: Rib fractures serve as both a marker of injury severity and a guide for clinical decision making for trauma patients. Although recent studies have suggested that rib fractures are dynamic, the degree of progressive offset remains unknown....
Male Thoracic Injuries Outcome Assessment, Health Care Retrospective Studies Middle Aged Quality Improvement Tomography, X-Ray Computed Disease Progression Humans Injury Severity Score Clinical Decision-Making Patient Care Trauma Centers Neural Networks, Computer Female Lung Diseases Flail Chest Rib Fractures
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Trauma outcome predictor: An artificial intelligence interactive smartphone tool to predict outcomes in trauma patients.

The journal of trauma and acute care surgery Jul 1, 2021
BACKGROUND: Classic risk assessment tools often treat patients' risk factors as linear and additive. Clinical reality suggests that the presence of certain risk factors can alter the impact of other factors; in other words, risk modeling is not linea...
Injury Severity Score Wounds, Penetrating Emergencies Hospital Mortality Smartphone United States Predictive Value of Tests Artificial Intelligence Decision Support Techniques Databases, Factual Wounds, Nonpenetrating Female Risk Factors Aged Adult Male Middle Aged Risk Assessment Humans
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Development of a field artificial intelligence triage tool: Confidence in the prediction of shock, transfusion, and definitive surgical therapy in patients with truncal gunshot wounds.

The journal of trauma and acute care surgery Jun 1, 2021
BACKGROUND: In-field triage tools for trauma patients are limited by availability of information, linear risk classification, and a lack of confidence reporting. We therefore set out to develop and test a machine learning algorithm that can overcome ...
Injury Severity Score Models, Cardiovascular Trauma Centers Wounds, Gunshot Emergency Medical Services Triage Humans Feasibility Studies Artificial Intelligence Hemorrhage Thoracic Injuries Shock Retrospective Studies Female Young Adult Adult Male Risk Assessment ROC Curve Blood Transfusion
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