Literature DB >> 34795972

Erratum to clinicopathological models for predicting lymph node metastasis in patients with early-stage lung adenocarcinoma: the application of machine learning algorithms.

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Abstract

[This corrects the article DOI: 10.21037/jtd-21-98.]. 2021 Journal of Thoracic Disease. All rights reserved.

Entities:  

Year:  2021        PMID: 34795972      PMCID: PMC8575800          DOI: 10.21037/jtd-2021-38

Source DB:  PubMed          Journal:  J Thorac Dis        ISSN: 2072-1439            Impact factor:   2.895


In the article that appeared on Page: 4033-4042, Vol 13, No 7 (July 2021) Issue of the Journal of Thoracic Disease (JTD) (1), there was an error in the order of the author affiliations. In this Correction, correct and incorrect versions are shown. Incorrect: Yuming Chong1#^, Yijun Wu2#, Jianghao Liu1#, Chang Han1, Liang Gong1, Xinyu Liu1, Naixin Liang3, Shanqing Li3 1Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China; 2Department of Radiation Oncology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China; 3Department of Thoracic Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China. #These authors contributed equally to this work. Correct: Yuming Chong1,2#, Yijun Wu1,2#, Jianghao Liu2#, Chang Han2, Liang Gong2, Xinyu Liu2, Naixin Liang1, Shanqing Li1 1Department of Thoracic Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China; 2Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China #These authors contributed equally to the work. Click here to view the updated version of the article. The article’s supplementary files as
  1 in total

1.  Clinicopathological models for predicting lymph node metastasis in patients with early-stage lung adenocarcinoma: the application of machine learning algorithms.

Authors:  Yuming Chong; Yijun Wu; Jianghao Liu; Chang Han; Liang Gong; Xinyu Liu; Naixin Liang; Shanqing Li
Journal:  J Thorac Dis       Date:  2021-07       Impact factor: 2.895

  1 in total

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