Improving service delivery in the social security service organization using simulation

Social Security Organization Branch in Mashhad is an office with huge number of daily customers. The effectiveness of services and customer sojourn time are major concerns of management in this branch. We use Discrete Event Simulation to model the current customer flow in this branch and to evaluate different improvement scenarios. We follow a systematic…

Prediction of axillary lymph node status in women with breast cancer usingmachine learning models

Axillary lymph node (ALN) status is a key indicator in assessing and determining the treatment strategy for patients with newly diagnosed breast cancer. Previous studies show that it can be predicted by different ways such as imaging and modeling. Machine learning algorithms have shown excellent performance in prediction. The purpose of this study is to…

Analysis of survival and comparison of treatment approaches of breast cancer patients referred to Omid Hospital in Mashhad between 2010 and 2012

According to the official announcement of the World Health Organization, breast cancer is the second most common cancer in the world in recent years, and it has also taken the fifth place among all types of cancer in terms of the number of deaths. Considering these cases and the increasing statistics related to the rate…

Investigating factors affecting copper mineralization with the help of uni-variate, multivariate and logistic regression

In statistical models, regression analysis is a statistical process for estimating the relationships between variables. Regression analysis specifically helps to find out how the value of the dependent variable varies by varying each of the independent variables and the constant of other variables.it also widely used for prediction. Some of the most important methods of…