Predicting Chronic Kidney Disease using Machine Learning Algorithms

In today’s busy world, health is often neglected until symptoms appear. Chronic Kidney Disease (CKD) is particularly challenging as it often shows no symptoms, making early detection difficult and increasing the risk of severe complications. Machine learning (ML) provides a solution with its strong predictive capabilities.This study evaluated nine ML models, including KNN, Decision Tree, Random Forest, XGBoost, Stochastic Gradient Boosting, Gradient Boosting Classifier, CatBoost, Ada Boost and Extra Tree Classifier proving its effectiveness in CKD prediction.