Background: Kidney transplantation had been evaluated in some researches in Iran mainly with clinical approach. In this research we evaluated graft survival in kidney recipients and factors impacting on survival rate. Artificial neural networks have a good ability in modeling complex relationships, so we used this ability to demonstrate a model for prediction of 5yr graft survival after ki...

In this paper, we propose an approach for the nonparametric estimation of the conditional survival function of a time to failure‎ ‎given a time-varying covariate under interval-censoring for the failure time. Our strategy consists in‎ ‎modeling the covariate path with a random effects model, ‎as is done in the degradation and joint longitudinal and survival data modeling&lrm...

Background and Objective: Breast cancer is the most common cancer among women. Various factors are associated with survival of patients with breast cancer. The aim of this study was to determine the survival rate of patients with breast cancer who referred to MRI center of Hamadan and to explore its related factors. Materials and Methods: In this historical cohort study, 542 women with breast c...

Introduction: Colorectal cancer is one of the most widespread and killer among cancers. It is important that we predict what status people have in the future. The purpose of this study was comparison of the Cox model and Kaplan-Meier curve with IBS and also identifying the factors about predicted survival time of patients with colon cancer. Materials & Methods: This paper is related to colore...

  Background: Life expectancy of patients with spinal metastasis is an important factor to manage these patients. Tokuhashi is a scoring system which was the sum of the points of six items: 1.general condition, 2. number of extraspinal bone metastasis, 3. number of metastasis in the vertebral body, 4. presence or absence of metastasis to major internal organs, 5. site of the primary lesion, 6. ...