Copyright
©The Author(s) 2021.
World J Clin Cases. Oct 16, 2021; 9(29): 8729-8739
Published online Oct 16, 2021. doi: 10.12998/wjcc.v9.i29.8729
Published online Oct 16, 2021. doi: 10.12998/wjcc.v9.i29.8729
Figure 1 Research protocol flow chart.
A total of 4504 patients who underwent cardiac surgery were screened for inclusion; 1474 were excluded. The 3030 who were eligible and included in the study were divided into a training set and a testing set. The random forest algorithm was applied to the training set for the modeling process and the parameters were debugged. The model was then validated in the test set.
- Citation: Li XF, Huang YZ, Tang JY, Li RC, Wang XQ. Development of a random forest model for hypotension prediction after anesthesia induction for cardiac surgery. World J Clin Cases 2021; 9(29): 8729-8739
- URL: https://www.wjgnet.com/2307-8960/full/v9/i29/8729.htm
- DOI: https://dx.doi.org/10.12998/wjcc.v9.i29.8729