an important aspect of microarray studies includes the prediction of patient survival based on their gene expression profile. to deal with the high dimensionality of this data, use of a dimension reduction procedure along with the survival prediction model is necessary. this study aimed to present a new method based on wavelet transform for survival relevant gene selection.the data included 204...

background: peritoneal dialysis is one of the most prevalent types of dialysis prescribed to the patients suffering from renal failure. studies on the factors affecting the survival of these patients have mainly used log-rank test and cox analysis. the present study aimed to investigate the risk factors affecting short- and long term survival of patients on continuous ambulatory peritoneal dial...

Application of data mining methods as a decision support system has a great benefit to predict survival of new patients. It also has a great potential for health researchers to investigate the relationship between risk factors and cancer survival. But due to the imbalanced nature of datasets associated with breast cancer survival, the accuracy of survival prognosis models is a challenging issue...

conclusions by controlling the modifiable risk factors and modality of treatment in our study, physicians can reach more effective treatment. results at the end of the study, long-term graft failure was seen in 27 (10.2%) cases. one-year and 2-year graft survival after diagnosis of cancer were 93.6% and 91.7%, respectively. the univariate analysis showed that the incidence of chronic graft loss...

conclusions where there is a relationship between two longitudinal and survival responses, joint modeling can estimate it. background admission to the icu (intensive care unit) is frequently complicated by early aki (acute kidney injury). the development of aki following cardiac surgery is particularly associated with increased mortality and morbidity. according to akin (acute kidney injury net...