Unlocking Precision Medicine for Prognosis of Chronic Kidney Disease Using Machine Learning.

ABSTRACT: Chronic kidney disease (CKD) is a significant global health challenge that requires timely detection and accurate prognosis for effective treatment and management. The application of machine learning (ML) algorithms for CKD detection and prediction holds promising potential for improving patient outcomes. By incorporating key features which contribute to CKD, these algorithms enhance our ability to identify high-risk individuals and initiate timely interventions. This research highlights the importance of leveraging machine learning techniques to augment existing medical knowledge and improve the identification and management of kidney disease. In this paper, we explore the utilization of diverse ML algorithms, including gradient boost (GB), decision tree (DT), K-nearest neighbor (KNN), ra

SUBMITTER: Dubey Y 

PROVIDER: S-EPMC10572800 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature