Treffer: Researchers at Daffodil International University Zero in on Personalized Medicine (A robot process automation based mobile application for early prediction of chronic kidney disease using machine learning).

The article focuses on a study from Daffodil International University that explores the use of machine learning for the early prediction and classification of chronic kidney disease (CKD). The research developed and evaluated six machine learning classifiers and two novel ensemble models, achieving the highest accuracy of 99.50% with the MKR Stacking model. The study emphasizes the potential of integrating these advanced models into the Internet of Medical Things and Robotic Process Automation frameworks to enhance CKD management through real-time monitoring and personalized treatment plans. The findings suggest that such technological advancements could significantly improve patient outcomes in CKD care. [Extracted from the article]