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©The Author(s) 2022.
World J Crit Care Med. Sep 9, 2022; 11(5): 317-329
Published online Sep 9, 2022. doi: 10.5492/wjccm.v11.i5.317
Published online Sep 9, 2022. doi: 10.5492/wjccm.v11.i5.317
Figure 2 Model confusion matrix.
As illustrated, the model was able to accurately predict occurrence of death outcome for 63 of 77 patients and non-occurrence for 112 of 131 patients, with true positive and true negative rates of 76.8% and 88.9%, respectively.
- Citation: Caires Silveira E, Mattos Pretti S, Santos BA, Santos Corrêa CF, Madureira Silva L, Freire de Melo F. Prediction of hospital mortality in intensive care unit patients from clinical and laboratory data: A machine learning approach. World J Crit Care Med 2022; 11(5): 317-329
- URL: https://www.wjgnet.com/2220-3141/full/v11/i5/317.htm
- DOI: https://dx.doi.org/10.5492/wjccm.v11.i5.317