Development and validation of a machine learning model to predict time to renal replacement therapy in patients with chronic kidney disease

Predicting time to renal replacement therapy (RRT) is important in patients at high risk for end-stage kidney disease. We developed and validated machine learning models for predicting the time to RRT and comp...

Source: BMC Nephrology - March 16, 2024 Category: Urology & Nephrology Authors: Jun Okita, Takeshi Nakata, Hiroki Uchida, Akiko Kudo, Akihiro Fukuda, Tamio Ueno, Masato Tanigawa, Noboru Sato and Hirotaka Shibata Tags: Research Source Type: research