Chronic kidney disease diagnosis using decision tree algorithms.

ABSTRACT:

Background

Chronic Kidney Disease (CKD), i.e., gradual decrease in the renal function spanning over a duration of several months to years without any major symptoms, is a life-threatening disease. It progresses in six stages according to the severity level. It is categorized into various stages based on the Glomerular Filtration Rate (GFR), which in turn utilizes several attributes, like age, sex, race and Serum Creatinine. Among multiple available models for estimating GFR value, Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI), which is a linear model, has been found to be quite efficient because it allows detecting all CKD stages.

Methods

Early detection and cure of CKD is extremely desirable as it can lead to the prevention of unwanted consequences. Machine le

SUBMITTER: Ilyas H 

PROVIDER: S-EPMC8351137 | biostudies-literature | 2021 Aug

REPOSITORIES: biostudies-literature