Behrouz Beiranvand
MSc of biostatistics, Lorestan University of Medical Sciences, Khorramabad, Iran
[ 1 ] - Human Cystic Echinococcosis in Lorestan province, Southwest Iran: A retrospective epidemiological study of surgical cases during a 10 years period (2005-2014)
The aim of this study was to determine the prevalence of hydatidosis in Lorestan province during a 10 year period (2005-2014). We surveyed medical records of infected patients with hydatid cyst who had been operated in referral hospitals of Lorestan province, Iran. Several parameters were analyzed including age, gender, place of residency, hospitalization time, and the location of cysts. Cystic...
[ 2 ] - Comparison of Artificial Neural Networks and Cox Regression Models in Prediction of Kidney Transplant Survival
Cox regression model serves as a statistical method for analyzing the survival data, which requires some options such as hazard proportionality. In recent decades, artificial neural network model has been increasingly applied to predict survival data. This research was conducted to compare Cox regression and artificial neural network models in prediction of kidney transplant survival. The prese...
[ 3 ] - Human Cystic Echinococcosis in Lorestan province, Southwest Iran: A retrospective epidemiological study of surgical cases during a 10 years period (2005-2014)
The aim of this study was to determine the prevalence of hydatidosis in Lorestan province during a 10 year period (2005-2014). We surveyed medical records of infected patients with hydatid cyst who had been operated in referral hospitals of Lorestan province, Iran. Several parameters were analyzed including age, gender, place of residency, hospitalization time, and the location of cysts. Cystic...
[ 4 ] - Comparison of Artificial Neural Networks and Cox Regression Models in Prediction of Kidney Transplant Survival
Cox regression model serves as a statistical method for analyzing the survival data, which requires some options such as hazard proportionality. In recent decades, artificial neural network model has been increasingly applied to predict survival data. This research was conducted to compare Cox regression and artificial neural network models in prediction of kidney transplant survival. The prese...
Co-Authors