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Compared with the prediction model based on feature training of specific feature selection algorithm, the overall performance and stability of the prediction model based on global optimal feature are higher. Conclusion The prognosis model based on the global optimal feature established in this paper has good reliability and performance, and can be applied to the CT radiology of NSCLC. © 2020 The Authors.Despite the knowledge regarding allelopathy, known as a major ecological mechanism for biological weed control, had increased greatly
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