Modelling of lung cancer survival data for critical illness insurances

Using data mining techniques for predicting the survival rate of breast cancer patients: a review article

    This review was conducted between December 2018 and March 2019 at Isfahan University of Medical Sciences. A review of various studies revealed what data mining techniques to predict the probability of survival, what risk factors for these predictions, what criteria for evaluating data mining techniques, and finally what data sources for it have been used to predict the surv...

Predicting Survival of Patients with Lung Cancer Using Improved Adaptive Neuro-Fuzzy Inference System

Introduction: Lung cancer is the main cause of mortality in both genders worldwide. This disease is caused by the uncontrollable growth and development of cells in both or one of the lungs. Although the early diagnosis of this cancer is not an easy task, the earlier it is diagnosed, the higher will be the chance of treating. The objective of this study was to develop an optimized prediction mod...

Predicting Survival of Patients with Lung Cancer Using Improved Adaptive Neuro-Fuzzy Inference System

Introduction: Lung cancer is the main cause of mortality in both genders worldwide. This disease is caused by the uncontrollable growth and development of cells in both or one of the lungs. Although the early diagnosis of this cancer is not an easy task, the earlier it is diagnosed, the higher will be the chance of treating. The objective of this study was to develop an optimized prediction mod...

ImprovIng lung cancer survIval

Heat shock protein gene expression and survival in critical illness

Introduction The advent of recombinant DNA technologies has created unprecedented opportunities for significantly improving the treatment and prevention of human disease. Recombinant DNA technology has made it possible to study the molecular factors that modulate cellular responses to various metabolic and environmental stresses. Incorporating molecular biology techniques into the research arse...