Your browser doesn't support javascript.
loading
Predicting intraoperative bleeding in patients undergoing a hepatectomy using multiple machine learning and deep learning techniques.
Xue, Qiong; Zhu, Yu; Yang, Lihua; Duan, Wen; Li, Zeping; Ji, Muhuo; Tong, Jianhua; Yang, Jian-Jun; Zhou, Cheng-Mao.
Afiliación
  • Xue Q; Department of Anesthesiology, Pain and Perioperative Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450000, China.
  • Zhu Y; Department of Anesthesiology, Pain and Perioperative Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450000, China; Anesthesia and Big Data Research Group, Department of scientific research, Zhaoqing Medical College, China.
  • Yang L; Department of Anesthesiology, Pain and Perioperative Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450000, China.
  • Duan W; Department of Anesthesiology, Pain and Perioperative Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450000, China.
  • Li Z; Department of Anesthesiology, Pain and Perioperative Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450000, China.
  • Ji M; Department of Anesthesiology, Pain and Perioperative Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450000, China.
  • Tong J; Department of Anesthesiology, Pain and Perioperative Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450000, China.
  • Yang JJ; Department of Anesthesiology, Pain and Perioperative Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450000, China. Electronic address: yjyangjj@126.com.
  • Zhou CM; Department of Anesthesiology, Pain and Perioperative Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450000, China. Electronic address: zhouchengmao187@foxmail.com.
J Clin Anesth ; 74: 110444, 2021 11.
Article en En | MEDLINE | ID: mdl-34217119

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Aprendizaje Profundo / Hepatectomía Tipo de estudio: Etiology_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: J Clin Anesth Asunto de la revista: ANESTESIOLOGIA Año: 2021 Tipo del documento: Article País de afiliación: China Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Aprendizaje Profundo / Hepatectomía Tipo de estudio: Etiology_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: J Clin Anesth Asunto de la revista: ANESTESIOLOGIA Año: 2021 Tipo del documento: Article País de afiliación: China Pais de publicación: Estados Unidos