Application of Machine-Learning Models to Predict Tacrolimus Stable Dose in Renal Transplant Recipients

Tacrolimus has a narrow therapeutic window and considerable variability in clinical use. Our goal was to compare the performance of multiple linear regression (MLR) and eight machine learning techniques in pharmacogenetic algorithm-based prediction of tacrolimus stable dose (TSD) in a large Chinese...

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Detalles Bibliográficos
Autores principales: Tang, Jie, Liu, Rong, Zhang, Yue-Li, Liu, Mou-Ze, Hu, Yong-Fang, Shao, Ming-Jie, Zhu, Li-Jun, Xin, Hua-Wen, Feng, Gui-Wen, Shang, Wen-Jun, Meng, Xiang-Guang, Zhang, Li-Rong, Ming, Ying-Zi, Zhang, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2017
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5296901/
https://www.ncbi.nlm.nih.gov/pubmed/28176850
http://dx.doi.org/10.1038/srep42192

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5296901/
https://www.ncbi.nlm.nih.gov/pubmed/28176850
http://dx.doi.org/10.1038/srep42192

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