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 4 Ranked importance of the random forest model.
The importance of each variable was ranked by the mean decrease in the Gini index. ASA: American Society of Anesthesiologists; BMI: Body mass index; EF: Ejection fraction; IABP: Intra-aortic balloon pump; MBP: Mean blood pressure.
- 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