Constructing a prediction model for physiological parameters for malnutrition in hemodialysis patients.

ABSTRACT: A retrospective analysis of the improvement in the health condition of patients undergoing hemodialysis was done to understand the important factors that can affect malnutrition in these patients. In this study, data from patients who underwent hemodialysis between 2010 and 2015 in a regional hospital in Yunlin County were collected from the Taiwan Society of Nephrology-Kidney Transplantation database. A total of 1049 medical records from 300 patients with age over 20 and underwent hemodialysis were collected for this study. A decision tree C5.0 and logistic regression were used to identify 40 independent variables, as well as the association of the dependent variable albumin. Then, the C5.0 decision tree, logistic regression, and support vector machine (SVM) methods were applied to find a

SUBMITTER: Tsai YT 

PROVIDER: S-EPMC6656719 | biostudies-literature | 2019 Jul

REPOSITORIES: biostudies-literature