Findings from Fu Jen Catholic University Has Provided New Data on Chronic Kidney Disease (An Integrated Machine Learning Predictive Scheme for Longitudinal Laboratory Data To Evaluate the Factors Determining Renal Function Changes In Patients...).

A study conducted by researchers at Fu Jen Catholic University in New Taipei, Taiwan, aimed to identify key factors associated with changes in renal function in patients with chronic kidney disease (CKD). The study utilized a machine learning and important variable selection scheme to analyze longitudinal laboratory data from 710 outpatients with CKD stages 3-5. The results showed that factors such as estimated glomerular filtration rate (eGFR), blood urea nitrogen (BUN), proteinuria, sodium, and blood pressure were significant in predicting subsequent eGFR levels. The study provides valuable insights for physicians in understanding renal function changes in different CKD conditions. [Extracted from the article]

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