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Machine learning-based prediction of the post-thrombotic syndrome: Model development and validation study.
Yu, Tao; Shen, Runnan; You, Guochang; Lv, Lin; Kang, Shimao; Wang, Xiaoyan; Xu, Jiatang; Zhu, Dongxi; Xia, Zuqi; Zheng, Junmeng; Huang, Kai.
Afiliação
  • Yu T; Department of Emergency, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China.
  • Shen R; Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China.
  • You G; Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China.
  • Lv L; Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China.
  • Kang S; Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China.
  • Wang X; Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China.
  • Xu J; Department of Cardiovascular Surgery, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China.
  • Zhu D; Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China.
  • Xia Z; Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China.
  • Zheng J; Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, China.
  • Huang K; Department of Cardiovascular Surgery, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China.
Front Cardiovasc Med ; 9: 990788, 2022.
Article em En | MEDLINE | ID: mdl-36186967
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article