Abstract:Chronic kidney disease (CKD) is a global health issue with a high mortality rate and it is the root cause of many other diseases. Patients fail to recognise the disease as there aren't any obvious signs in the beginning. Early symptom identification is essential for providing effective treatment. To solve this problem, CKD was predicted using machine learning algorithms. In this study, CKD was predicted using convolutional neural networks (CNN) and long short-term memory (LSTM). We examine the accuracy, precis… Show more
Set email alert for when this publication receives citations?
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.