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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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| Yayımlandı: | Br J Anaesth |
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| Asıl Yazarlar: | , , , , , , , , |
| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
Elsevier
2019
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| Konular: | |
| Online Erişim: | 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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