Kidney Disease Prediction using ML techniques

Over the last two years there has been a wide progress in detecting causes of diabetic nephropathy, understanding its complications and preventing it. So far, techniques such as SVM, Decision Tree, KNN and ANN trained predictive models were used by researchers to monitor the progression of DN using T1- and T2-Weighted Imaging. We have discussed the importance of various Machine learning, Deep learning and artificial intelligence techniques used in curing diabetic nephropathy. Further a prospective of precise diagnosis of diabetic kidney disease is discussed to throw light on integrated bio-informatics analysis and machine learning algorithms. We also compare and analyze the research findings and solutions along with their challenges for a summarized view of the topic. In this research work, we have discussed about the Kidney diseases and the ML techniques wherever applicable.