Published on in Vol 9, No 3 (2021): March
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/23888, first published
.
![Noninvasive Real-Time Mortality Prediction in Intensive Care Units Based on Gradient Boosting Method: Model Development and Validation Study Noninvasive Real-Time Mortality Prediction in Intensive Care Units Based on Gradient Boosting Method: Model Development and Validation Study](https://asset.jmir.pub/assets/ea6f9552c461c143621409a75be993e2.png 480w,https://asset.jmir.pub/assets/ea6f9552c461c143621409a75be993e2.png 960w,https://asset.jmir.pub/assets/ea6f9552c461c143621409a75be993e2.png 1920w,https://asset.jmir.pub/assets/ea6f9552c461c143621409a75be993e2.png 2500w)
Journals
- Hu J, Kang X, Xu F, Huang K, Du B, Weng L. Dynamic prediction of life-threatening events for patients in intensive care unit. BMC Medical Informatics and Decision Making 2022;22(1) View
- Werner E, Clark J, Hepburn A, Bhamber R, Ambler M, Bourdeaux C, McWilliams C, Santos-Rodriguez R. Explainable hierarchical clustering for patient subtyping and risk prediction. Experimental Biology and Medicine 2023 View