نتایج جستجو برای: survival function

تعداد نتایج: 1505729  

Journal: :Nephrology Dialysis Transplantation 2008

استواره, مریم, جهانتیغ, فرزاد فیروزی, نجفی, ایرج,

Background: Peritoneal dialysis is one of the most commonly used treatment methods for the patients with end stage renal failure. In recent years, the mortality rate of patients under this treatment has decreased; however, long-term survival is still an important challenge for health systems. The present study aimed to predict the survival of continuous ambulatory peritoneal dialysis patients. ...

Abdolrasoul Bardideh Amir Hossein Hashemian Behrouz Beiranvand, Eghbal Zand-Karimi Mansour Rezaei

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...

, Nahid Rahimzadeh, Nasim Mirzaiee, Rozita Hoseini,

Background and Objective: Cystinosis is a rare inherited disease that leads to renal failure. Fanconi syndrome is the major renal involvement in cystinosis patients. Renal transplantation is the treatment of choice in cystinosis children with end-stage renal disease (ESRD).  The study aimed to assess the outcome of renal transplantation in Iranian children with cystinosis. Methods: This...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه فردوسی مشهد - دانشکده علوم 1375

chapter two presents three m-admissible function algebras ab, bd, and sl, to construct the universal abelian, band, and semilattice compactifications, respectively. the main results are (11.3), (12.3), and (12.4). some inclusion relationships between these function algebras and the other well-known ones, presented in section 8, are made via the devico of compactifications. chpter three is about...

Abdolrasoul Bardideh Amir Hossein Hashemian Behrouz Beiranvand, Eghbal Zand-Karimi Mansour Rezaei

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...

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