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A random forest algorithm predicting model combining intraoperative frozen section analysis and clinical features guides surgical strategy for peripheral solitary pulmonary nodules

   
@article{TLCR65821,
	author = {Liqiang Qian and Yinjie Zhou and Wanqin Zeng and Xiaoke Chen and Zhengping Ding and Yujia Shen and Yifeng Qian and Davide Tosi and Mario Silva and Yuchen Han and Xiaolong Fu},
	title = {A random forest algorithm predicting model combining intraoperative frozen section analysis and clinical features guides surgical strategy for peripheral solitary pulmonary nodules},
	journal = {Translational Lung Cancer Research},
	volume = {11},
	number = {6},
	year = {2022},
	keywords = {},
	abstract = {},
	issn = {2226-4477},	url = {https://tlcr.amegroups.org/article/view/65821}
}