Construct a classification decision tree model to select the optimal equation for estimating glomerular filtration rate and estimate it more accurately.

ABSTRACT: Chronic kidney disease (CKD) has become a worldwide public health problem and accurate assessment of renal function in CKD patients is important for the treatment. Although the glomerular filtration rate (GFR) can accurately evaluate the renal function, the procedure of measurement is complicated. Therefore, endogenous markers are often chosen to estimate GFR indirectly. However, the accuracy of the equations for estimating GFR is not optimistic. To estimate GFR more precisely, we constructed a classification decision tree model to select the most befitting GFR estimation equation for CKD patients. By searching the HIS system of the First Affiliated Hospital of Zhejiang Chinese Medicine University for all CKD patients who visited the hospital from December 1, 2018 to December 1, 2021 and u

SUBMITTER: Fan Z 

PROVIDER: S-EPMC9436941 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature