A Novel Survival Analysis Approach to Predict the Need for Intubation in Intensive Care Units
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-09342-5_35
Reference7 articles.
1. Bauer, P.R., et al.: Association between timing of intubation and outcome in critically ill patients: a secondary analysis of the ICON audit. J. Crit. Care 42, 1–5 (2017). https://doi.org/10.1016/J.JCRC.2017.06.010
2. Lapinsky, S.E.: Endotracheal intubation in the ICU. Crit. Care 19(1) (2015). https://doi.org/10.1186/s13054-015-0964-z
3. Siu, B.M.K., Kwak, G.H., Ling, L., Hui, P.: Predicting the need for intubation in the first 24 h after critical care admission using machine learning approaches. Sci. Rep. 10(1), 1–8 (2020). https://doi.org/10.1038/s41598-020-77893-3
4. Ren, O., et al.: Predicting and understanding unexpected respiratory decompensation in critical care using sparse and heterogeneous clinical data. In: Proceedings - 2018 IEEE International Conference on Healthcare Informatics, ICHI 2018, pp. 144–151 (2018). https://doi.org/10.1109/ICHI.2018.00024
5. Amico, M., Van Keilegom, I.: Cure models in survival analysis. 5, 311–342 (2018). https://doi.org/10.1146/ANNUREV-STATISTICS-031017-100101
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