scholarly journals Sleep disturbance and intrusive memories after presenting to the emergency department following a traumatic motor vehicle accident: an exploratory analysis

2019 ◽  
Vol 10 (1) ◽  
pp. 1556550 ◽  
Author(s):  
Annemarie I. Luik ◽  
Lalitha Iyadurai ◽  
Isabel Gebhardt ◽  
Emily A. Holmes
2018 ◽  
Vol 2018 ◽  
pp. 1-3 ◽  
Author(s):  
Alan Lucerna ◽  
James Espinosa ◽  
Nicholas Butler ◽  
Ashley Wenke ◽  
Nicole Caltabiano

Here we report the case of a 20-year-old female restrained driver who presented to the emergency department (ED) after a motor vehicle accident. She sustained an isolated fracture of her left cuboid, consistent with a nutcracker cuboid fracture. A cuboid fracture is considered rare. It is even more uncommon for a cuboid fracture to occur in isolation, without other associated injuries to the foot. We discuss the mechanism, relevant anatomy, diagnosis, and principles of treatment of the nutcracker cuboid fracture.


2003 ◽  
Author(s):  
David Walshe ◽  
Elizabeth Lewis ◽  
Kathleen O'Sullivan ◽  
Brenda K. Wiederhold ◽  
Sun I. Kim

1996 ◽  
Vol 35 (04/05) ◽  
pp. 309-316 ◽  
Author(s):  
M. R. Lehto ◽  
G. S. Sorock

Abstract:Bayesian inferencing as a machine learning technique was evaluated for identifying pre-crash activity and crash type from accident narratives describing 3,686 motor vehicle crashes. It was hypothesized that a Bayesian model could learn from a computer search for 63 keywords related to accident categories. Learning was described in terms of the ability to accurately classify previously unclassifiable narratives not containing the original keywords. When narratives contained keywords, the results obtained using both the Bayesian model and keyword search corresponded closely to expert ratings (P(detection)≥0.9, and P(false positive)≤0.05). For narratives not containing keywords, when the threshold used by the Bayesian model was varied between p>0.5 and p>0.9, the overall probability of detecting a category assigned by the expert varied between 67% and 12%. False positives correspondingly varied between 32% and 3%. These latter results demonstrated that the Bayesian system learned from the results of the keyword searches.


Tracheobronchial foreign bodies are a common problem in clinical practice. We present the case of a patient with three aspirated teeth following a motor vehicle accident.


Author(s):  
Tal Margaliot Kalifa ◽  
Misgav Rottenstreich ◽  
Eyal Mazaki ◽  
Hen Y. Sela ◽  
Schwartz Alon ◽  
...  

2021 ◽  
Author(s):  
Gaia S. Pocobelli ◽  
Mary A. Akosile ◽  
Ryan N. Hansen ◽  
Joanna Eavey ◽  
Robert D. Wellman ◽  
...  

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