Chronic Kidney Diseases Prediction Using Machine Learning Algorithms

Abstract

Chronic Kidney Disease (CKD) is a growing global health concern affecting millions of people, primarily due to conditions like diabetes and hypertension. It can progress silently for years but eventually lead to kidney failure. Early detection and management are crucial to slow its progression and prevent complications. CKD is associated with clinical manifestations like fatigue, edema, hypertension, anemia, and electrolyte imbalances. It also predisposes individuals to cardiovascular disease and has socioeconomic implications. Public health initiatives, healthcare professionals, and healthcare professionals play critical roles in addressing CKD, aiming to improve the quality of life for those affected. Final output of this paper predicts that the person is having any chronic kidney disease or not by using least count of features. Keywords— machine learning, chronic kidney diseases, deep learning, SVM