A machine learning approach to personalized dose adjustment of lamotrigine using noninvasive clinical parameters

The pharmacokinetic variability of lamotrigine (LTG) plays a significant role in its dosing requirements. Our goal here was to use noninvasive clinical parameters to predict the dose-adjusted concentrations (C/D ratio) of LTG based on machine learning (ML) algorithms. A total of 1141 therapeutic dru...

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Detalles Bibliográficos
Autores principales: Zhu, Xiuqing, Huang, Wencan, Lu, Haoyang, Wang, Zhanzhang, Ni, Xiaojia, Hu, Jinqing, Deng, Shuhua, Tan, Yaqian, Li, Lu, Zhang, Ming, Qiu, Chang, Luo, Yayan, Chen, Hongzhen, Huang, Shanqing, Xiao, Tao, Shang, Dewei, Wen, Yuguan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7946912/
https://www.ncbi.nlm.nih.gov/pubmed/33692435
http://dx.doi.org/10.1038/s41598-021-85157-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7946912/
https://www.ncbi.nlm.nih.gov/pubmed/33692435
http://dx.doi.org/10.1038/s41598-021-85157-x

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