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An application of machine learning based on real-world data: Mining features of fibrinogen in clinical stages of lung cancer between sexes.
Yin, Fangtao; Zhu, Hongyu; Hong, Songlin; Sun, Chen; Wang, Jie; Sun, Mengting; Xu, Lin; Wang, Xiaoxiao; Yin, Rong.
Afiliación
  • Yin F; Department of Thoracic Surgery, The Affiliated Cancer Hospital of Nanjing Medical University & Jiangsu Cancer Hospital & Jiangsu Institute of Cancer Research, Jiangsu Key Laboratory of Molecular and Translational Cancer Research, Collaborative Innovation Center for Cancer Personalized Medici
  • Zhu H; Department of Thoracic Surgery, The Affiliated Cancer Hospital of Nanjing Medical University & Jiangsu Cancer Hospital & Jiangsu Institute of Cancer Research, Jiangsu Key Laboratory of Molecular and Translational Cancer Research, Collaborative Innovation Center for Cancer Personalized Medici
  • Hong S; F&E Data Technology (Tianjin) Corp., Tianjin, China.
  • Sun C; F&E Data Technology (Tianjin) Corp., Tianjin, China.
  • Wang J; Department of Scientific Research, The Affiliated Cancer Hospital of Nanjing Medical University & Jiangsu Cancer Hospital & Jiangsu Institute of Cancer Research, Jiangsu Key Laboratory of Molecular and Translational Cancer Research, Nanjing, China.
  • Sun M; Biobank of Lung Cancer, Jiangsu Biobank of Clinical Resources, Nanjing, China.
  • Xu L; Department of Scientific Research, The Affiliated Cancer Hospital of Nanjing Medical University & Jiangsu Cancer Hospital & Jiangsu Institute of Cancer Research, Jiangsu Key Laboratory of Molecular and Translational Cancer Research, Nanjing, China.
  • Wang X; Biobank of Lung Cancer, Jiangsu Biobank of Clinical Resources, Nanjing, China.
  • Yin R; Department of Thoracic Surgery, The Affiliated Cancer Hospital of Nanjing Medical University & Jiangsu Cancer Hospital & Jiangsu Institute of Cancer Research, Jiangsu Key Laboratory of Molecular and Translational Cancer Research, Collaborative Innovation Center for Cancer Personalized Medici
Ann Transl Med ; 9(8): 623, 2021 Apr.
Article en En | MEDLINE | ID: mdl-33987321
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Texto completo: 1 Colección: 01-internacional Tipo de estudio: Prognostic_studies / Screening_studies Idioma: En Revista: Ann Transl Med Año: 2021 Tipo del documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Tipo de estudio: Prognostic_studies / Screening_studies Idioma: En Revista: Ann Transl Med Año: 2021 Tipo del documento: Article