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Prediction of preoperative in-hospital mortality rate in patients with acute aortic dissection by machine learning: a two-centre, retrospective cohort study.
Wu, Zhaoyu; Li, Yixuan; Xu, Zhijue; Liu, Haichun; Liu, Kai; Qiu, Peng; Chen, Tao; Lu, Xinwu.
Afiliación
  • Wu Z; Department of Vascular Surgery, Shanghai Jiao Tong University School of Medicine Affiliated to Ninth People's Hospital, Shanghai, China.
  • Li Y; Big Data Research Lab, University of Waterloo, Waterloo, Ontario, Canada.
  • Xu Z; Department of Economics, University of Waterloo, Waterloo, Ontario, Canada.
  • Liu H; Department of Vascular Surgery, Shanghai Jiao Tong University School of Medicine Affiliated to Ninth People's Hospital, Shanghai, China.
  • Liu K; Department of Automation, Shanghai Jiao Tong University, Shanghai, China.
  • Qiu P; Big Data Research Lab, University of Waterloo, Waterloo, Ontario, Canada.
  • Chen T; School of Mathematical and Computational Sciences, University of Prince Edward Island, Charlottetown, Prince Edward Island, Canada.
  • Lu X; Department of Vascular Surgery, Shanghai Jiao Tong University School of Medicine Affiliated to Ninth People's Hospital, Shanghai, China luxinwu@shsmu.edu.cn t66chen@uwaterloo.ca hiiigh4@163.com.
BMJ Open ; 13(4): e066782, 2023 04 03.
Article en En | MEDLINE | ID: mdl-37012019
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Pacientes Internos / Disección Aórtica Tipo de estudio: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Humans País/Región como asunto: Asia Idioma: En Revista: BMJ Open Año: 2023 Tipo del documento: Article País de afiliación: China
Texto completo
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XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Pacientes Internos / Disección Aórtica Tipo de estudio: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Humans País/Región como asunto: Asia Idioma: En Revista: BMJ Open Año: 2023 Tipo del documento: Article País de afiliación: China