A Hybrid of Structural Equation Modeling and Artificial Neural Networks to Predict Motorcyclists’ Injuries: A Conceptual Model in a Case-Control Study

A Hybrid of Structural Equation Modeling and Artificial Neural Networks to Predict Motorcyclists’ Injuries: A Conceptual Model in a Case-Control Study

Background: To model, the predictors of injuries caused the hospitalization of motorcyclists using a hybrid structural equation modeling-artificial neural network (SEM-ANN) considering a conceptual model. Methods: In this case-control study, 300 cases and 156 controls were enrolled using a cluste...

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Bibliographic Details
Main Authors: Shila HASANZADEH, Mohammad ASGHARIJAFARABADI, Homayoun SADEGHI-BAZARGANI
Format: Article
Language:English
Published: Tehran University of Medical Sciences 2020-10-01
Series:Iranian Journal of Public Health
Subjects:
motorcyclists
traffic injury
structural equation modeling
neural networks
Online Access:https://ijph.tums.ac.ir/index.php/ijph/article/view/15063

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