AIMC Topic: Wounds and Injuries

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Predicting venous thromboembolism in hospitalized trauma patients: a combination of the Caprini score and data-driven machine learning model.

BMC emergency medicine May 10, 2021
BACKGROUND: Venous thromboembolism (VTE) is a common complication of hospitalized trauma patients and has an adverse impact on patient outcomes. However, there is still a lack of appropriate tools for effectively predicting VTE for trauma patients. W...
Humans Hospitalization Risk Assessment Venous Thromboembolism Wounds and Injuries Machine Learning Retrospective Studies Risk Factors
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Open data and injuries in urban areas-A spatial analytical framework of Toronto using machine learning and spatial regressions.

PloS one Mar 11, 2021
Injuries have become devastating and often under-recognized public health concerns. In Canada, injuries are the leading cause of potential years of life lost before the age of 65. The geographical patterns of injury, however, are evident both over sp...
Databases, Factual Cities Canada Urban Health Humans Machine Learning Wounds and Injuries
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A scalable physician-level deep learning algorithm detects universal trauma on pelvic radiographs.

Nature communications Feb 16, 2021
Pelvic radiograph (PXR) is essential for detecting proximal femur and pelvis injuries in trauma patients, which is also the key component for trauma survey. None of the currently available algorithms can accurately detect all kinds of trauma-related ...
Pelvis Humans Hip Fractures Adult Algorithms Middle Aged Wounds and Injuries Female Male Physicians Deep Learning Aged ROC Curve
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Identifying intentional injuries among children and adolescents based on Machine Learning.

PloS one Jan 20, 2021
BACKGROUND: Compared to other studies, the injury monitoring of Chinese children and adolescents has captured a low level of intentional injuries on account of self-harm/suicide and violent attacks. Intentional injuries in children and adolescents ha...
Female Male Adolescent Suicide Humans Machine Learning Self-Injurious Behavior Child, Preschool Violence Child Wounds and Injuries Intention
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Fully automatic wound segmentation with deep convolutional neural networks.

Scientific reports Dec 14, 2020
Acute and chronic wounds have varying etiologies and are an economic burden to healthcare systems around the world. The advanced wound care market is expected to exceed $22 billion by 2024. Wound care professionals rely heavily on images and image do...
Wounds and Injuries Humans Image Processing, Computer-Assisted Wound Healing Neural Networks, Computer Algorithms
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Do clinical and paraclinical findings have the power to predict critical conditions of injured patients after traumatic injury resuscitation? Using data mining artificial intelligence.

Chinese journal of traumatology = Zhonghua chuang shang za zhi Nov 24, 2020
PURPOSE: The triage and initial care of injured patients and a subsequent right level of care is paramount for an overall outcome after traumatic injury. Early recognition of patients is an important case of such decision-making with risk of worse pr...
Resuscitation Trauma Severity Indices Blood Pressure Data Mining Wounds and Injuries Adolescent Monitoring, Physiologic Triage Prognosis Critical Illness Female Male Middle Aged Young Adult Adult Humans Artificial Intelligence Forecasting
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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...
Wounds and Injuries Glasgow Coma Scale ROC Curve Heart Rate Probability Injury Severity Score Risk Sex Factors False Positive Reactions Databases, Factual Reproducibility of Results Hospitalization Humans Machine Learning Algorithms
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Automated Quantitative Analysis of Wound Histology Using Deep-Learning Neural Networks.

The Journal of investigative dermatology Oct 26, 2020
Wound Healing Wounds and Injuries Humans Neural Networks, Computer Deep Learning
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Exploring the Injury Severity Risk Factors in Fatal Crashes with Neural Network.

International journal of environmental research and public health Oct 14, 2020
A better understanding of circumstances contributing to the severity outcome of traffic crashes is an important goal of road safety studies. An in-depth crash injury severity analysis is vital for the proactive implementation of appropriate mitigatio...
Humans Risk Factors Severity of Illness Index Neural Networks, Computer Algorithms Wounds and Injuries Saudi Arabia Logistic Models Accidents, Traffic
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A multicenter mixed-effects model for inference and prediction of 72-h return visits to the emergency department for adult patients with trauma-related diagnoses.

Journal of orthopaedic surgery and research Aug 14, 2020
OBJECTIVE: Emergency department (ED) return visits within 72 h may be a sign of poor quality of care and entail unnecessary use of healthcare resources. In this study, we compare the performance of two leading statistical and machine learning classif...
Machine Learning Algorithms Female Humans Adult Male Emergency Service, Hospital Middle Aged Patient Readmission Time Factors Wounds and Injuries Risk Factors Aged Young Adult
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