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Correction to: Predicting pathologic complete response in locally advanced rectal cancer patients after neoadjuvant therapy: a machine learning model using XGBoost.
Chen, Xijie; Wang, Wenhui; Chen, Junguo; Xu, Liang; He, Xiaosheng; Lan, Ping; Hu, Jiancong; Lian, Lei.
Affiliation
  • Chen X; Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, Guangdong Institute of Gastroenterology, The Sixth Affiliated Hospital, Sun Yat-Sen University, Guangzhou, Guangdong, China.
  • Wang W; Department of Gastrointestinal Surgery, The Sixth Affiliated Hospital, Sun Yat-Sen University, Guangzhou, Guangdong, China.
  • Chen J; Information and Data Centre, Guangzhou First People's Hospital, School of Medicine, South China University of Technology, Guangdong, Guangdong, China.
  • Xu L; Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, Guangdong Institute of Gastroenterology, The Sixth Affiliated Hospital, Sun Yat-Sen University, Guangzhou, Guangdong, China.
  • He X; Department of Colorectal Surgery, The Sixth Affiliated Hospital, Sun Yat-Sen University, Guangzhou, Guangdong, China.
  • Lan P; Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, Guangdong Institute of Gastroenterology, The Sixth Affiliated Hospital, Sun Yat-Sen University, Guangzhou, Guangdong, China.
  • Hu J; Department of Pathology, The Sixth Affiliated Hospital, Sun Yat-Sen University, Guangzhou, Guangdong, China.
  • Lian L; Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, Guangdong Institute of Gastroenterology, The Sixth Affiliated Hospital, Sun Yat-Sen University, Guangzhou, Guangdong, China.
Int J Colorectal Dis ; 37(8): 1919, 2022 Aug.
Article in En | MEDLINE | ID: mdl-35833997
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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Int J Colorectal Dis Journal subject: GASTROENTEROLOGIA Year: 2022 Document type: Article Affiliation country: China
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Int J Colorectal Dis Journal subject: GASTROENTEROLOGIA Year: 2022 Document type: Article Affiliation country: China