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Machine learning-based model for predicting the esophagogastric variceal bleeding risk in liver cirrhosis patients.
Hou, Yixin; Yu, Hao; Zhang, Qun; Yang, Yuying; Liu, Xiaoli; Wang, Xianbo; Jiang, Yuyong.
Afiliación
  • Hou Y; Center of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, No. 8 Jingshun East Road, Beijing, 100051, China.
  • Yu H; Center of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, No. 8 Jingshun East Road, Beijing, 100051, China.
  • Zhang Q; Center of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, No. 8 Jingshun East Road, Beijing, 100051, China.
  • Yang Y; Institute of Liver Diseases, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China.
  • Liu X; Center of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, No. 8 Jingshun East Road, Beijing, 100051, China.
  • Wang X; Center of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, No. 8 Jingshun East Road, Beijing, 100051, China. dr_wangxb@sina.com.
  • Jiang Y; Center of Integrative Medicine, Beijing Ditan Hospital, Capital Medical University, No. 8 Jingshun East Road, Beijing, 100051, China. jyuy11@126.com.
Diagn Pathol ; 18(1): 29, 2023 Feb 23.
Article en En | MEDLINE | ID: mdl-36823660
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Várices / Várices Esofágicas y Gástricas Tipo de estudio: Diagnostic_studies / Etiology_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Diagn Pathol Asunto de la revista: PATOLOGIA Año: 2023 Tipo del documento: Article País de afiliación: China Pais de publicación: Reino Unido
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Várices / Várices Esofágicas y Gástricas Tipo de estudio: Diagnostic_studies / Etiology_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Diagn Pathol Asunto de la revista: PATOLOGIA Año: 2023 Tipo del documento: Article País de afiliación: China Pais de publicación: Reino Unido