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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
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@article{{TLCR}{65821}, author = {Qian, L., Zhou, Y., Zeng, W., Chen, X., Ding, Z., Shen, Y., Qian, Y., Tosi, D., Silva, M., Han, Y., Fu, X.}, 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}, url = {https://tlcr.amegroups.org/article/view/65821} }