AIMC Topic: Wounds and Injuries

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Predicting Crash Injury Severity with Machine Learning Algorithm Synergized with Clustering Technique: A Promising Protocol.

International journal of environmental research and public health Jul 30, 2020
Predicting crash injury severity is a crucial constituent of reducing the consequences of traffic crashes. This study developed machine learning (ML) models to predict crash injury severity using 15 crash-related parameters. Separate ML models for ea...
Cluster Analysis Accidents, Traffic United Kingdom Wounds and Injuries Humans Machine Learning Algorithms
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Analyzing Factors Associated with Fatal Road Crashes: A Machine Learning Approach.

International journal of environmental research and public health Jun 9, 2020
Road traffic injury accounts for a substantial human and economic burden globally. Understanding risk factors contributing to fatal injuries is of paramount importance. In this study, we proposed a model that adopts a hybrid ensemble machine learning...
Data Analysis Databases, Factual Risk Factors Accidents, Traffic Humans Machine Learning Wounds and Injuries
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Forecasting deaths of road traffic injuries in China using an artificial neural network.

Traffic injury prevention Jun 5, 2020
This study was conducted to estimate road traffic deaths and to forecast short-term road traffic deaths in China using the Elman recurrent neural network (ERNN) model. An ERNN model was developed using reported police data of road traffic deaths in ...
Humans Neural Networks, Computer Forecasting Reproducibility of Results China Accidents, Traffic Wounds and Injuries
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A machine-learning method for improving crash injury severity analysis: a case study of work zone crashes in Cairo, Egypt.

International journal of injury control and safety promotion Apr 1, 2020
The quality of vehicular collision data is crucial for studying the relationship between injury severity and collision factors. Misclassified injury severity data in the crash dataset, however, may cause inaccurate parameter estimates and consequentl...
Humans Occupational Injuries Adolescent Triage Egypt Accidents, Traffic Quality Improvement Wounds and Injuries Young Adult Machine Learning Trauma Severity Indices Adult Databases, Factual Male Female Middle Aged
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A comparison between Artificial Neural Network and Hybrid Intelligent Genetic Algorithm in predicting the severity of fixed object crashes among elderly drivers.

Accident; analysis and prevention Feb 14, 2020
Run-off-road (ROR) crashes have always been a major concern as this type of crash is usually associated with a considerable number of serious injury and fatal crashes. A substantial portion of ROR fatalities occur in collisions with fixed objects at ...
Humans Neural Networks, Computer Algorithms Accidents, Traffic California Wounds and Injuries Databases, Factual Female Aged Male
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Early Recognition of Burn- and Trauma-Related Acute Kidney Injury: A Pilot Comparison of Machine Learning Techniques.

Scientific reports Jan 14, 2020
Severely burned and non-burned trauma patients are at risk for acute kidney injury (AKI). The study objective was to assess the theoretical performance of artificial intelligence (AI)/machine learning (ML) algorithms to augment AKI recognition using ...
Wounds and Injuries Burns Creatinine Natriuretic Peptide, Brain Adult Male Pilot Projects Kidney Function Tests Acute-Phase Proteins Peptide Fragments Lipocalin-2 Algorithms Biomarkers Acute Kidney Injury Female Humans Artificial Intelligence Machine Learning
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Making the 'invisible' visible: transforming the detection of intimate partner violence.

BMJ quality & safety Nov 20, 2019
Humans Artificial Intelligence Electronic Health Records Female Adult Male Middle Aged Intimate Partner Violence Radiology Prevalence Probability Diagnosis, Computer-Assisted Risk Adolescent Wounds and Injuries
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Pressure injury image analysis with machine learning techniques: A systematic review on previous and possible future methods.

Artificial intelligence in medicine Nov 13, 2019
Pressure injuries represent a tremendous healthcare challenge in many nations. Elderly and disabled people are the most affected by this fast growing disease. Hence, an accurate diagnosis of pressure injuries is paramount for efficient treatment. The...
Middle Aged Image Processing, Computer-Assisted Wounds and Injuries Humans Pressure Ulcer Machine Learning Algorithms Aged Aged, 80 and over
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Person transfer assist systems: a literature review.

Disability and rehabilitation. Assistive technology Oct 12, 2019
OBJECTIVE: Novel developments in the robotics field have produced systems that can support person wheelchair transfers, maximize safety and reduce caregiver burden. The purpose of this study was to identify and describe these systems, their usability...
Humans Self-Help Devices Robotics Moving and Lifting Patients Equipment Design Caregivers Wounds and Injuries Wheelchairs
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Drone-related injuries treated at emergency departments.

The American journal of emergency medicine Jul 3, 2019
Wounds and Injuries Robotics Emergency Service, Hospital Aircraft Male Infant, Newborn Humans Middle Aged Adolescent Aged Databases, Factual Infant Child, Preschool Young Adult Female Child Adult United States
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