A Neural Network based Model for Predicting Chronic Kidney Diseases

Chronic kidney infection is a huge and rising problem among developing populations. It is one of the critical known health concerns with rising demand for early detection for prosperous and sustainable care. Many factors (such as Haemoglobin, Blood Pressure, diabetes, obesity) contribute to the continuous decline of kidney function over time. Chronic kidney disease has many stages for the criticality of the disease. Hence, a better diagnosis of chronic kidney disease is required to prevent continuous progression. This work gives a comprehensive study of the bio-clinical phenotype of cases with high-risk of Chronic kidney disease and will repeatedly assess victims over the long term and helps in classifying the stage of chronic kidney disease and then provides better recommendations (food, medicine) to prevent the rise of chronic kidney disease.