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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Dettagli Bibliografici
Pubblicato in:Br J Anaesth
Autori principali: Fritz, Bradley A., Cui, Zhicheng, Zhang, Muhan, He, Yujie, Chen, Yixin, Kronzer, Alex, Ben Abdallah, Arbi, King, Christopher R., Avidan, Michael S.
Natura: Artigo
Lingua:Inglês
Pubblicazione: Elsevier 2019
Soggetti:
Quality and Patient Safety
Accesso online: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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