Application of Machine-Learning Models to Predict Tacrolimus Stable Dose in Renal Transplant Recipients
Tang, Jie, Liu, Rong, Zhang, Yue-Li, Liu, Mou-Ze, Hu, Yong-Fang, Shao, Ming-Jie, Zhu, Li-Jun, Xin, Hua-Wen +6 more·2017·Scientific Reports
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- Mechanism‐informed machine learning for individualized tacrolimus dose adjustment in the early post‐kidney transplant periodHui Yu, Zihan Qin, Logan S. Smith, Jeong Mi Park, Hao‐Jie Zhu · 2026 · British Journal of Clinical Pharmacology
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- Additional file 1 of The study of the association between immune monitoring and pneumonia in kidney transplant recipients through machine learning modelsBo Peng, Gong, Hang, Tian Han, Quan Zhuang, Li, Junhui, Ke Cheng, Yingzi Ming · 2020 · Figshare
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- Additional file 1 of Models to predict the short-term survival of acute-on-chronic liver failure patients following liver transplantationYang, Min, Bo Peng, Quan Zhuang, Li, Junhui, Liu, Hong, Cheng, Ke, Ming, Yingzi · 2022 · Figshare
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