Frontiers

Editorial: Enhancing kidney transplant outcomes through machine learning innovations

Chronic kidney disease represents one of the most significant health challenges of our time, affecting more than 850 million people worldwide. Kidney transplantation remains the optimal renal ...
IEEE

Reinforcement Learning-Enhanced Dynamic LSTM Training with Meta-Feature Extraction for Small Time-Series VOC Datasets in CKD Detection

Abstract: Early detection of life-threatening diseases remains a critical challenge in healthcare research. Breath analysis has emerged as a promising non-invasive diagnostic method. Volatile Organic ...
IEEE

Predicting Kidney Damage in Hypertensive Patients Using Machine Learning

Abstract: This research explores the complex relationship between hypertension, adrenal function, and renal health to enhance early detection of kidney damage. By combining traditional renal ...
Frontiers

Correction: Diagnostic efficacy of remnant cholesterol inflammatory index in diabetic kidney disease: machine learning approaches

The order of authors in the Author List of the published paper was erroneously given as: Xili Xie, Haifeng Li, Yan Gao, Feng Zhao, Xueyu Li and Chen Jia *. The correct author list should read as: Xili ...