Deep-learning model for predicting 30-day postoperative mortality

BACKGROUND: Postoperative mortality occurs in 1–2% of patients undergoing major inpatient surgery. The currently available prediction tools using summaries of intraoperative data are limited by their inability to reflect shifting risk associated with intraoperative physiological perturbations. We so...

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Detalles Bibliográficos
Publicado en:Br J Anaesth
Autores principales: Fritz, Bradley A., Cui, Zhicheng, Zhang, Muhan, He, Yujie, Chen, Yixin, Kronzer, Alex, Ben Abdallah, Arbi, King, Christopher R., Avidan, Michael S.
Formato: Artigo
Lenguaje:Inglês
Publicado: Elsevier 2019
Materias:
Quality and Patient Safety
Acceso en línea:https://ncbi.nlm.nih.gov/pmc/articles/PMC6993109/
https://ncbi.nlm.nih.gov/pubmed/31558311
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.bja.2019.07.025
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