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[Research on grading prediction model of traumatic hemorrhage volume based on deep learning].
Guo, Chengyu; Han, Youfang; Gong, Minghui; Zhang, Hongliang; Wang, Junkang; Zhang, Ruizhi; Lu, Bing; Li, Chunping; Li, Tanshi.
Afiliación
  • Guo C; School of Medicine, Nankai University, Tianjin 300071, China.
  • Han Y; Department of Emergency, First Medical Center, General Hospital of the PLA, Beijing 100853, China.
  • Gong M; School of Software, Tsinghua University, Beijing 100083, China. Corresponding author: Li Tanshi, Email: lts301@163.com.
  • Zhang H; School of Software, Tsinghua University, Beijing 100083, China. Corresponding author: Li Tanshi, Email: lts301@163.com.
  • Wang J; Department of Emergency, First Medical Center, General Hospital of the PLA, Beijing 100853, China.
  • Zhang R; Department of Emergency, First Medical Center, General Hospital of the PLA, Beijing 100853, China.
  • Lu B; Department of Emergency, First Medical Center, General Hospital of the PLA, Beijing 100853, China.
  • Li C; Department of Emergency, First Medical Center, General Hospital of the PLA, Beijing 100853, China.
  • Li T; School of Software, Tsinghua University, Beijing 100083, China. Corresponding author: Li Tanshi, Email: lts301@163.com.
Zhonghua Wei Zhong Bing Ji Jiu Yi Xue ; 34(7): 746-751, 2022 Jul.
Article en Zh | MEDLINE | ID: mdl-36100415
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Heridas por Arma de Fuego / Aprendizaje Profundo Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Animals / Humans Idioma: Zh Revista: Zhonghua Wei Zhong Bing Ji Jiu Yi Xue Año: 2022 Tipo del documento: Article País de afiliación: China Pais de publicación: China
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Heridas por Arma de Fuego / Aprendizaje Profundo Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Animals / Humans Idioma: Zh Revista: Zhonghua Wei Zhong Bing Ji Jiu Yi Xue Año: 2022 Tipo del documento: Article País de afiliación: China Pais de publicación: China