A Novel Method for Detecting Kidney Diseases using RF Classifier

Abstract

The kidney illness may be diagnosed by analysing ECG data using machine learning techniques. A random forest classifier was
used to determine the outcome. Data from the aforementioned online database was used to validate the model, and it was found
that the model was able to accurately categorise the majority of cases. Patients with Chronic Kidney Disease (CKD), or chronic
renal failure, have a condition where the kidneys begin to fail. As the name suggests, Unexpected Cardiac Death (SCD) is
defined as the sudden death of a healthy individual owing to a cardiac impact. The ECG of each CKD patient displays
substantial alterations that may be linked back to CKD, according to several key studies. This section summarises the dynamic
alterations that may be noticed in the ECG of CKD patients.