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pyDarwin machine learning algorithms application and comparison in nonlinear mixed-effect model selection and optimization.

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第一作者： Xinnong,Li

第一单位： Department of Pharmaceutical Sciences, School of Pharmacy and Pharmaceutical Sciences State University of New York at Buffalo, Buffalo, NY, USA.

作者： Xinnong,Li ^[1] ; Mark,Sale ^[2] ; Keith,Nieforth ^[2] ; James,Craig ^[2] ; Fenggong,Wang ^[3] ; David,Solit ^[4] ; Kairui,Feng ^[3] ; Meng,Hu ^[3] ; Robert,Bies ^[5] ; Liang,Zhao ^[3]

作者单位： Department of Pharmaceutical Sciences, School of Pharmacy and Pharmaceutical Sciences State University of New York at Buffalo, Buffalo, NY, USA. ^[1] Software Product Development, Certara, Radnor, PA, USA. ^[2] Division of Quantitative Methods and Modeling, Office of Research and Standards, Office of Generic Drugs, Center for Drug Evaluation and Research, U.S. Food and Drug Administration, Silver Spring, Montgomery, MD, USA. ^[3] Memorial Sloan Kettering, New York, NY, USA. ^[4] Department of Pharmaceutical Sciences, School of Pharmacy and Pharmaceutical Sciences State University of New York at Buffalo, Buffalo, NY, USA. robertbi@buffalo.edu. ^[5]

关键词 Bayesian optimization Genetic algorithm Machine learning Modeling Pharmacokinetics Random forest

医学主题词算法(Algorithms);非线性动力学(Nonlinear Dynamics);人类(Humans);模型, 生物学(Models, Biological);计算机模拟(Computer Simulation);药代动力学(Pharmacokinetics)

DOI 10.1007/s10928-024-09932-9

PMID 38941056

发布时间 2025-01-30

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