Predictive analytics for chronic kidney disease using machine learning techniques

A Charleonnan, T Fufaung… - 2016 management …, 2016 - ieeexplore.ieee.org
Predictive analytics for healthcare using machine learning is a challenged task to help
doctors decide the exact treatments for saving lives. In this paper, we present machine …

Self‐care management importance in kidney illness: a comprehensive and systematic literature review

Y Wu, L Tang, G Li, H Zhang, Z Jiang… - … Modeling Analysis in …, 2020 - Springer
Kidney illness is a key problem for individuals' health across the world and a significant
reason for death, too. Therefore, education and management are essential for prevention …

Utilizing support vector machines for predictive analytics in chronic kidney diseases

AS Shanthakumari, R Jayakarthik - Materials Today: Proceedings, 2023 - Elsevier
Chronic kidney disease (CKD), due to rising patients, the high probability of deterioration
towards end-stage renal disease and inaccurate estimates of morbidity and mortality …

Uncovering the needs for a hybridized interaction design model for sign language learning through experts' feedback

N Aziz, AC Omar, AA Mutalib, SZ Ahmad… - Journal of Physics …, 2020 - iopscience.iop.org
Nielsen's and Molich's design guidelines have been famously adapted in studies related to
the design of interactive products, including for learning environment, and for hearing …