Early Prediction of Tacrolimus-Induced Tubular Toxicity in Pediatric Refractory Nephrotic Syndrome Using Machine Learning

• Main Authors: Xiaolan Mo (Author), Xiujuan Chen (Author), Chifong Ieong (Author), Xia Gao (Author), Yingjie Li (Author), Xin Liao (Author), Huabin Yang (Author), Huiyi Li (Author), Fan He (Author), Yanling He (Author), Yilu Chen (Author), Huiying Liang (Author), Min Huang (Author), Jiali Li (Author)
• Format: Book
• Published: Frontiers Media S.A., 2021-08-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

Background and Aims: Tacrolimus(TAC)-induced nephrotoxicity, which has a large individual variation, may lead to treatment failure or even the end-stage renal disease. However, there is still a lack of effective models for the early prediction of TAC-induced nephrotoxicity, especially in nephrotic s...