Explainable machine-learning predictions for the prevention of hypoxaemia during surgery
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Science Applications,Biomedical Engineering,Medicine (miscellaneous),Bioengineering,Biotechnology
Link
http://www.nature.com/articles/s41551-018-0304-0.pdf
Reference37 articles.
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3. Kable, A. K., Gibberd, R. W. & Spigelman, A. D. Adverse events in surgical patients in Australia. Int. J. Qual. Health Care 14, 269–276 (2002).
4. Nair, B. G., Gabel, E., Hofer, I., Schwid, H. A. & Cannesson, M. Intraoperative clinical decision support for anesthesia. Anesth. Analg. 124, 603–617 (2017).
5. Maier-Hein, L. et al. Surgical data science for next-generation interventions. Nat. Biomed. Eng. 1, 691–696 (2017).
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