A machine learning-based approach for predicting renal function recovery in general ward patients with acute kidney injury

• Main Authors: Nam-Jun Cho (Author), Inyong Jeong (Author), Yeongmin Kim (Author), Dong Ok Kim (Author), Se-Jin Ahn (Author), Sang-Hee Kang (Author), Hyo-Wook Gil (Author), Hwamin Lee (Author)
• Format: Book
• Published: The Korean Society of Nephrology, 2024-07-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

Background Acute kidney injury (AKI) is a significant challenge in healthcare. While there are considerable researches dedicated to AKI patients, a crucial factor in their renal function recovery, is often overlooked. Thus, our study aims to address this issue through the development of a machine le...