International Journal of Advanced Innovative Technology in Engineering (IJAITE)

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Predicting Kidney Disease Using Deep Neural Networks

Anushree Anand Pande

Abstract :

A deep neural network, known as DNN, is very important in machine learning research. Its used in many areas to solve difficult problems. In health, its helping to find diseases like cancer and diabetes in medical images. Kidney disease is a serious problem too. If one kidney stops working, death can happen within a few days. Ignoring kidney problems can lead to a serious disease that causes death slowly over time. Sometimes, symptoms of this kidney disease are not noticed for a long time. The doctors are concerned because many people have this kidney disease. They tried to find a way to solve it, but they have not succeeded yet. They collected information from 400 patients at General Hospital. They used a DNN model to guess if a person had kidney disease or not. The model was right about 98% of the time. They also figured out which information was most important for predicting kidney disease. They found that Creatinine and Bicarbonate were the most important in predicting kidney disease.

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