Research on Predicting Acute Hypotension Based on Interpretable Machine Learning

Author:

Zhao Yan,Jia Lijing,Li Jing

Publisher

Springer Nature Singapore

Reference38 articles.

1. Cherifa, M., Blet, A., Chambaz, A., Gayat, E., Resche-Rigon, M., Pirracchio, R.: Prediction of an acute hypotensive episode during an ICU hospitalization with a super learner machine-learning algorithm. Anesthesia Analgesia, 130, 1157–1166 (2020)

2. Yoon, J.H., Jeanselme, V., Dubrawski, A., et al.: Prediction of hypotension events with physiologic vital sign signatures in the intensive care unit. Crit Care 24, 661 (2020). https://doi.org/10.1186/s13054-020-03379-3

3. Wang, Z., Lai, L., Xiong, D., Wu, X.: Prediction of acute hypotension based on AR model and support vector machine. Chin. J. Biomed. Eng. 250–255 (2011)

4. Lai, L., Wang, Z., Wu, X., Xiong, D.: Research on prediction model of acute hypotension in ICU based on support vector machine. Chin. J. Biomed. Eng. 451–455 (2011)

5. Sunhaojun, Z., Zhang, L., lijintao.: Prediction of acute hypotension based on wavelet analysis and Gaussian regression. Comput. Sci. Eng. 156–162 (2016)

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