首页|Researchers from State University of New York (SUNY) Buffalo Report New Studies and Findings in the Area of Machine Learning (Pydarwin : a Machine Learning Enhanced Automated Nonlinear Mixed-effect Model Selection Toolbox)
Researchers from State University of New York (SUNY) Buffalo Report New Studies and Findings in the Area of Machine Learning (Pydarwin : a Machine Learning Enhanced Automated Nonlinear Mixed-effect Model Selection Toolbox)
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NETL
NSTL
Wiley
Data detailed on Machine Learning have been presented. According to news reporting out of Buffalo, New York, by NewsRx editors, research stated, “PyDarwin is an open-source Python package for nonlinear mixed-effect model selection. pyDarwin combines machine-learning algorithms and NONMEM to perform a global search for the optimal model in a user-defined model search space. Compared with traditional stepwise search, pyDarwin provides an efficient platform for conducting an objective, robust, less labor-intensive model selection process without compromising model interpretability.” Financial support for this research came from US Food & Drug Administration (FDA). Our news journalists obtained a quote from the research from the State University of New York (SUNY) Buffalo, “In this tutorial, we will begin by introducing the essential components and concepts within the package. Subsequently, we will provide an overview of the pyDarwin modeling workflow and the necessary files needed for model selection.”
BuffaloNew YorkUnited StatesNorth and Central AmericaCyborgsEmerging TechnologiesMachine LearningState University of New York (SUNY) Buffalo
NETL
NSTL
Wiley
