A Review on Machine Learning Approaches for HIV Infected Patient Chronic Kidney Disease Stage Classification

Abstract

Chronic kidney disease (CKD) is sometimes called chronic kidney failure. The kidneys eliminate waste and surplus fluids from the circulation and excrete them as urine. In severe chronic renal disease, fluid, electrolytes, and waste products may build up in the body. HIV patients with additional risk factors for renal disease must have kidney function evaluated annually. HIV may damage kidney filters. The filters won't work properly. CKD has five stages, with more severe symptoms from stage 1 to stage 5. If chronic kidney disease continues to stage 4 or 5, our bodies might accumulate fluid and waste. Machine learning categories HIV-positive CKD patients based on their features. Machine learning relies on feature selection. This research uses feature selection and classification to accurately predict chronic renal illness.