AIMC Topic: Injury Severity Score

Clear Filters Showing 11 to 20 of 36 articles

On Scene Injury Severity Prediction (OSISP) model for trauma developed using the Swedish Trauma Registry.

BMC medical informatics and decision making Oct 9, 2023
BACKGROUND: Providing optimal care for trauma, the leading cause of death for young adults, remains a challenge e.g., due to field triage limitations in assessing a patient's condition and deciding on transport destination. Data-driven On Scene Injur...
Humans Artificial Intelligence Triage Accidents, Traffic Injury Severity Score Wounds and Injuries Retrospective Studies Sweden Young Adult
View on PubMed DOI

Model for Predicting In-Hospital Mortality of Physical Trauma Patients Using Artificial Intelligence Techniques: Nationwide Population-Based Study in Korea.

Journal of medical Internet research Dec 13, 2022
BACKGROUND: Physical trauma-related mortality places a heavy burden on society. Estimating the mortality risk in physical trauma patients is crucial to enhance treatment efficiency and reduce this burden. The most popular and accurate model is the In...
Injury Severity Score Trauma Severity Indices Retrospective Studies Republic of Korea Hospital Mortality Humans Artificial Intelligence
View on PubMed DOI

Injury scoring from ISS to machine learning - The rest of the story.

Injury Nov 26, 2021
Humans Machine Learning Injury Severity Score
View on PubMed DOI

Prediction of in-hospital mortality in patients on mechanical ventilation post traumatic brain injury: machine learning approach.

BMC medical informatics and decision making Dec 14, 2020
BACKGROUND: The study aimed to introduce a machine learning model that predicts in-hospital mortality in patients on mechanical ventilation (MV) following moderate to severe traumatic brain injury (TBI).
Machine Learning Forecasting Prognosis Retrospective Studies Humans Models, Statistical Injury Severity Score Cohort Studies Hospital Mortality Treatment Outcome Brain Injuries, Traumatic Adult Middle Aged Respiration, Artificial
View on PubMed DOI

Using the National Trauma Data Bank (NTDB) and machine learning to predict trauma patient mortality at admission.

PloS one Nov 17, 2020
A 400-estimator gradient boosting classifier was trained to predict survival probabilities of trauma patients. The National Trauma Data Bank (NTDB) provided 799233 complete patient records (778303 survivors and 20930 deaths) each containing 32 featur...
ROC Curve Heart Rate Probability Injury Severity Score Risk Sex Factors False Positive Reactions Databases, Factual Reproducibility of Results Hospitalization Humans Wounds and Injuries Machine Learning Glasgow Coma Scale Algorithms
View on PubMed DOI

Decision-making in pediatric blunt solid organ injury: A deep learning approach to predict massive transfusion, need for operative management, and mortality risk.

Journal of pediatric surgery Oct 24, 2020
BACKGROUND: The principal triggers for intervention in the setting of pediatric blunt solid organ injury (BSOI) are declining hemoglobin values and hemodynamic instability. The clinical management of BSOI is, however, complex. We therefore hypothesiz...
Wounds, Nonpenetrating Deep Learning Child Spleen Humans Retrospective Studies Injury Severity Score Trauma Centers
View on PubMed DOI

Using Machine Learning to Make Predictions in Patients Who Fall.

The Journal of surgical research Aug 18, 2020
BACKGROUND: As the population ages, the incidence of traumatic falls has been increasing. We hypothesize that a machine learning algorithm can more accurately predict mortality after a fall compared with a standard logistic regression (LR) model base...
Glasgow Coma Scale Length of Stay Accidental Falls ROC Curve Injury Severity Score Trauma Centers Decision Trees Patient Discharge Adult Humans Male Retrospective Studies Middle Aged Intensive Care Units Female Machine Learning Aged Algorithms Aged, 80 and over
View on PubMed DOI

The novel approaches to classify cyclist accident injury-severity: Hybrid fuzzy decision mechanisms.

Accident; analysis and prevention Jul 2, 2020
In this study, two novel fuzzy decision approaches, where the fuzzy logic (FL) model was revised with the C4.5 decision tree (DT) algorithm, were applied to the classification of cyclist injury-severity in bicycle-vehicle accidents. The study aims to...
Fuzzy Logic Built Environment Accidents, Traffic Bicycling Humans Sex Factors Injury Severity Score
View on PubMed DOI

Comparison of artificial neural network and logistic regression models for prediction of outcomes in trauma patients: A systematic review and meta-analysis.

Injury Jan 11, 2019
BACKGROUND: Currently, two models of artificial neural network (ANN) and logistic regression (LR) are known as models that extensively used in medical sciences. The aim of this study was to compare the ANN and LR models in prediction of Health-relate...
Humans Neural Networks, Computer Area Under Curve Hospital Mortality Injury Severity Score Survival Analysis Logistic Models Wounds and Injuries Predictive Value of Tests
View on PubMed DOI

Defining Massive Transfusion in Civilian Pediatric Trauma With Traumatic Brain Injury.

The Journal of surgical research Dec 4, 2018
The purpose of this study was to identify an optimal definition of massive transfusion in civilian pediatric trauma with severe traumatic brain injury (TBI) METHODS: Severely injured children (age ≤18 y) with severe TBI in the Trauma Quality Improvem...
Hemorrhage Injury Severity Score Adolescent Registries Brain Injuries, Traumatic Child Sensitivity and Specificity Humans Time Factors Patient Selection Blood Transfusion Predictive Value of Tests Retrospective Studies Male Child, Preschool Survival Analysis Female Risk Assessment
View on PubMed DOI
Popular Topics
Recent Journals