Copyright
©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 1 Methodological design of the study.
The proposed workflow encompasses selective collection of clinical, laboratorial and outcome data, splitting and pre-processing of the data, iterative training of the classificatory model, and finally evaluation of its performance. ICU: Intensive care unit.
- 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