A Retrospective study on Non Fatal Motor Vehicle Accident cases in the Emergency Department, Saveetha Medical College, Chennai

2020 ◽  
Keyword(s):  
Emergency Department ◽  
Retrospective Study ◽  
Motor Vehicle ◽  
Motor Vehicle Accident ◽  
Medical College ◽  
Vehicle Accident

scholarly journals Management of Nonunion of Tibia by Ilizarov Technique

2013 ◽  
Vol 2 (2) ◽  
pp. 41-45
Author(s):  
MA Haque ◽  
SM Islam ◽  
MR Chowdhury
Keyword(s):  
Motor Vehicle ◽  
Motor Vehicle Accident ◽  
Limb Length Discrepancy ◽  
High Morbidity ◽  
Infected Nonunion ◽  
College Hospital ◽  
Medical College ◽  
Vehicle Accident ◽  
Fall From Height ◽  
Initial Procedure

This prospective study was carried out during the period of January 2007 to December 2011 in Mymensingh Medical College Hospital and other private clinics of Mymensingh town to assess the results of Ilizarov technice for nonunion of the tibia. Here total operated patient were 30, of them 24 were male and 6 were female. 10 cases are hypertrophic, 8 cases are atrophic and 12 cases are infected nonunion. In this series age of the patients was 10 ? 60 years. Motor vehicle accident was the commonest cause of fracture found in 66.67% cases. Second most common cause of injury was fall from height. Among 30 patients proximal corticotomy was done in 24 patient and distal corticomy in 2 patient. Union time was 4-12 months. Among 30 patients 27 were united at initial procedure. From nonunited 3 cases again refreshening of the ends along with bone grafting was done and ultimately 2 were united and 1 remains nonunited. In this series limb length discrepancy reduced to maximum 1.5 cm with contralateral limbs. Average total hospital stay was 15 days. Pin site infection and pain were the commonest complications in our study. Close adherences to Ilizarov principles make it now possible to successfully treat a most of orthopaedic conditions that previously were fraught with high morbidity rates and poor results. DOI: http://dx.doi.org/10.3329/cbmj.v2i2.16697 Community Based Medical Journal 2013 July: Vol.02 No 02: 41-45

scholarly journals Nutcracker Cuboid Fracture: A Case Report and Review

2018 ◽  
Vol 2018 ◽  
pp. 1-3 ◽  
Author(s):  
Alan Lucerna ◽  
James Espinosa ◽  
Nicholas Butler ◽  
Ashley Wenke ◽  
Nicole Caltabiano
Keyword(s):  
Emergency Department ◽  
Case Report ◽  
Motor Vehicle ◽  
Motor Vehicle Accident ◽  
Associated Injuries ◽  
Vehicle Accident ◽  
Isolated Fracture ◽  
Principles Of Treatment

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.

Virtual reality and computer games in the treatment of driving phobia induced by a motor vehicle accident

2003 ◽  
Author(s):  
David Walshe ◽  
Elizabeth Lewis ◽  
Kathleen O'Sullivan ◽  
Brenda K. Wiederhold ◽  
Sun I. Kim
Keyword(s):  
Virtual Reality ◽  
Computer Games ◽  
Motor Vehicle ◽  
Motor Vehicle Accident ◽  
Vehicle Accident

Machine Learning of Motor Vehicle Accident Categories from Narrative Data

1996 ◽  
Vol 35 (04/05) ◽  
pp. 309-316 ◽  
Author(s):  
M. R. Lehto ◽  
G. S. Sorock
Keyword(s):  
Machine Learning ◽  
Bayesian Model ◽  
Keyword Search ◽  
Motor Vehicle ◽  
Motor Vehicle Accident ◽  
Computer Search ◽  
Vehicle Accident ◽  
Learning Technique ◽  
Expert Ratings ◽  
Keyword Searches

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.

Aspirated teeth - rigid or flexible bronchoscopy

2019 ◽  
pp. 1-2
Keyword(s):  
Clinical Practice ◽  
Foreign Bodies ◽  
Motor Vehicle ◽  
Motor Vehicle Accident ◽  
Flexible Bronchoscopy ◽  
Vehicle Accident

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.

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