نتایج جستجو برای: injury prediction
تعداد نتایج: 567350 فیلتر نتایج به سال:
introduction: in addition to the annual mortality rate, unintentional home injury may result in temporary or permanent disability and requires medical attention and continuous care in millions of children. this study aimed to explore features and risk factors of these injuries. methods: in this cross-sectional study, demographic variables and epidemiologic pattern of home injuries among childre...
Vehicle occupants comprise a considerable proportion of traffic crash victims in Iran. This paper has focused on vehicleoccupants’ injury severity and employed the Classification and Regression Tree (CART) technique in order toidentify the most important variables affecting the injury severity of these road users in crashes occurred on rural freewaysand multilane highways in I...
Introduction: In Processes Modeling, when there is relatively a high correlation between covariates, multicollinearity is created, and it leads to reduction in model's efficiency. In this study, by using principle component analysis, modification of the effect of multicolinearity in Artificial Neural Network (ANN) and Logistic Regression (LR) has been studied. Also, the effect of multicolineari...
BACKGROUND Hospital discharge data on injuries constitute a potentially powerful data source for epidemiologic studies. However, reliable identification of incident injury admissions is necessary. The objective of this study was to develop a prediction model for identifying incident hospital admissions, based on variables derived from a hospital discharge register. METHODS There were 743,022 ...
vehicle occupants comprise a considerable proportion of traffic crash victims in iran. this paper has focused on vehicleoccupants’ injury severity and employed the classification and regression tree (cart) technique in order toidentify the most important variables affecting the injury severity of these road users in crashes occurred on rural freewaysand multilane highways in iran over a three y...
Nowadays, none of the industries are willing to have accidents in their workplaces and use different tools in this regard. One of these tools, which is capable of identifying risks and inappropriate situations, is risk analysis. Due to the importance of job risk prediction and reduction of occupational injury in this study, job risk prediction using different neural network algorithms has been ...
Background: Value of Corticosteroid Randomisation after Significant Head Injury (CRASH) prognostic model has not been assessed in children with traumatic brain injury (TBI). This study is designed to examine the value of CRASH model in prediction of 14-day mortality and 6-month unfavourable outcome of pediatric TBI. Materials and Methods: </stron...
Background: The present study assesses independent predictors of clinically important traumatic brain injury (ciTBI) in order to design a prognostic rule for identification of high risk children with mild head injury. Materials and Methods: In a retrospective cross-sectional study, 3,199 children with mild traumatic brain injury (TBI) brought to emergency ward of three hospitals in Tehran, Iran...
In order to identify injury-proneness in female competitive gymnasts, 20 measures of flexibility, hypermobility, spinal posture and anthropometry were performed on 40 competitive gymnasts and injury scores were derived from the severity and extent of previous gymnastic injury and inherent hypermobility traits. Results were compared between contrasting groups of "low" and "high" injury gymnasts ...
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