Papers Injury Prediction
“Injury Prediction” 태그가 달린 논문 11편 · 필터 해제
Acute kidney injury prediction for non-critical care patients: a retrospective external and internal validation study
Background: Acute kidney injury (AKI), the decline of kidney excretory function, occurs in up to 18% of hospitalized admissions. Progression of AKI may lead to irreversible kidney damage. Methods: This retrospective coho…
Injury PredictionEnhancing Acute Kidney Injury Prediction through Integration of Drug Features in Intensive Care Units
The relationship between acute kidney injury (AKI) prediction and nephrotoxic drugs, or drugs that adversely affect kidney function, is one that has yet to be explored in the critical care setting. One contributing facto…
Injury PredictionKidney FunctionPredictionCOVID-Net Biochem: An Explainability-driven Framework to Building Machine Learning Models for Predicting Survival and Kidney Injury of COVID-19 Patients from Clinical and Biochemistry Data
Since the World Health Organization declared COVID-19 a pandemic in 2020, the global community has faced ongoing challenges in controlling and mitigating the transmission of the SARS-CoV-2 virus, as well as its evolving …
Decision MakingInjury PredictionKinematics clustering enables head impact subtyping for better traumatic brain injury prediction
Traumatic brain injury can be caused by various types of head impacts. However, due to different kinematic characteristics, many brain injury risk estimation models are not generalizable across the variety of impacts tha…
Car RacingClusteringInjury PredictionregressionIntimate Partner Violence and Injury Prediction From Radiology Reports
Intimate partner violence (IPV) is an urgent, prevalent, and under-detected public health issue. We present machine learning models to assess patients for IPV and injury. We train the predictive algorithms on radiology r…
Injury PredictionPredictionSpecificityLow-rank representation of head impact kinematics: A data-driven emulator
Head motion induced by impacts has been deemed as one of the most important measures in brain injury prediction, given that the majority of brain injury metrics use head kinematics as input. Recently, researchers have fo…
Data AugmentationInjury PredictionSpecificityAI-based Prediction of Independent Construction Safety Outcomes from Universal Attributes
This paper significantly improves on, and finishes to validate, an approach proposed in previous research in which safety outcomes were predicted from attributes with machine learning. Like in the original study, we use …
AttributeBIG-bench Machine LearningInjury PredictionA Radiomics Approach to Traumatic Brain Injury Prediction in CT Scans
Computer Tomography (CT) is the gold standard technique for brain damage evaluation after acute Traumatic Brain Injury (TBI). It allows identification of most lesion types and determines the need of surgical or alternati…
Decision MakingInjury PredictionLesion ClassificationLesion DetectionConcussion classification via deep learning using whole-brain white matter fiber strains
Developing an accurate and reliable injury predictor is central to the biomechanical studies of traumatic brain injury. State-of-the-art efforts continue to rely on empirical, scalar metrics based on kinematics or model-…
Deep LearningInjury PredictionPredictive modelling of training loads and injury in Australian football
To investigate whether training load monitoring data could be used to predict injuries in elite Australian football players, data were collected from elite athletes over 3 seasons at an Australian football club. Loads we…
Injury PredictionregressionPredictive modelling of football injuries
The goal of this thesis is to investigate the potential of predictive modelling for football injuries. This work was conducted in close collaboration with Tottenham Hotspurs FC (THFC), the PGA European tour and the parti…
BIG-bench Machine Learningfeature selectionGame of FootballInjury Prediction