Hemodialysis Patient Death Prediction Using Logistic Regression

Hemodialysis is a procedure for cleaning the blood from waste products of body’s metabolism. this one modality to treat end stage kidney disease. There are two main classifications disease, namely acute failure and chronic failure. Kidney occurs when damage severe enough or lasts long time so that disease generally final Dialysis performed on patients with failure, both This study aimed predict mortality risk hemodialysis patients. The Taiwanese center enrolled total 665 prediction based Logistic Regression. Compared K-Nearest Neighbor, linear discriminant, Tree, ensemble, Regression better. As related medical variables like parathyroid surgery, urea reduction ratio, etc., they play much smaller role in factors than diabetes cardiovascular