特征选择
范畴变量
丙戊酸
人工智能
机器学习
梯度升压
药代动力学
计算机科学
Boosting(机器学习)
人口
随机森林
癫痫
特征(语言学)
药理学
医学
精神科
哲学
环境卫生
语言学
作者
Pan Ma,Shenglan Shang,Yifan Huang,Ruixiang Liu,Hongfan Yu,Zhou Fan,Mengchen Yu,Xiao Qin,Ying Zhang,Qianxue Ding,Yuxian Nie,Zhibiao Wang,Yongchuan Chen,Airong Yu,Qiuling Shi
标识
DOI:10.1016/j.ejps.2024.106876
摘要
Our model was specifically tailored for elderly epileptic patients, providing an efficient and cost-effective approach to predict VPA plasma concentration. The model combined classical PPK with machine learning, and underwent optimization through feature selection and algorithm integration. Our model can serve as a fundamental tool for clinicians in determining VPA plasma concentration and individualized dosing regimens accordingly.
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