The effect of changes in pain expectations on persistent pain following a road traffic crash
Sign Up to like & getrecommendations! Published in 2018 at "European Journal of Pain"
DOI: 10.1002/ejp.1131
Abstract: Recovery expectations can influence outcomes after injury, but little is known about the course of expectations over time or factors predicting changes in expectations. This study aimed to describe how expectations of persistent pain change… read more here.
Keywords: persistent pain; expectations persistent; road traffic; traffic crash ... See more keywords
Prescribed anti‐glaucoma medication consumption and road traffic crash
Sign Up to like & getrecommendations! Published in 2022 at "Pharmacoepidemiology and Drug Safety"
DOI: 10.1002/pds.5577
Abstract: Glaucoma is one of the leading causes of visual impairment worldwide. Influence of visual defects associated with this condition, as well as potential side effects of anti‐glaucoma medications on driving may be a relevant traffic… read more here.
Keywords: traffic crash; traffic; anti glaucoma; prescribed anti ... See more keywords
A detailed spatiotemporal analysis of traffic crash hotspots
Sign Up to like & getrecommendations! Published in 2019 at "Applied Geography"
DOI: 10.1016/j.apgeog.2019.04.008
Abstract: Abstract A number of traffic crash databases at present contain the precise positions and dates of these events. This feature allows for detailed spatiotemporal analysis of traffic crash patterns. We applied a clustering method for… read more here.
Keywords: detailed spatiotemporal; spatiotemporal analysis; crash; analysis traffic ... See more keywords
An Improved Deep Learning Model for Traffic Crash Prediction
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Advanced Transportation"
DOI: 10.1155/2018/3869106
Abstract: Machine-learning technology powers many aspects of modern society. Compared to the conventional machine learning techniques that were limited in processing natural data in the raw form, deep learning allows computational models to learn representations of… read more here.
Keywords: traffic; model; traffic crash; deep learning ... See more keywords
Overview of findings from a 2-year study of claimants who had sustained a mild or moderate injury in a road traffic crash: prospective study
Sign Up to like & getrecommendations! Published in 2017 at "BMC Research Notes"
DOI: 10.1186/s13104-017-2401-7
Abstract: BackgroundStudies have shown that in people injured in a road traffic crash, persistent symptoms are common and can lead to significant ongoing personal impact. Hence, elucidating factors associated with the human costs are key to… read more here.
Keywords: road traffic; injury; traffic crash; study ... See more keywords
Roadway traffic crash prediction using a state-space model based support vector regression approach
Sign Up to like & getrecommendations! Published in 2019 at "PLoS ONE"
DOI: 10.1371/journal.pone.0214866
Abstract: Conventional traffic crash analyzing methods focus on identifying the relationship between traffic crash outcomes and impact risk factors and explaining the effects of risk factors, which ignore the changes of roadway systems and can lead… read more here.
Keywords: traffic; state space; traffic crash; model ... See more keywords
Comparing Resampling Algorithms and Classifiers for Modeling Traffic Risk Prediction
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Environmental Research and Public Health"
DOI: 10.3390/ijerph192013693
Abstract: Road infrastructure has significant effects on road traffic safety and needs further examination. In terms of traffic crash prediction, recent studies have started to develop deep learning classification algorithms. However, given the uncertainty of traffic… read more here.
Keywords: road; risk prediction; traffic; traffic crash ... See more keywords