Copyright
©The Author(s) 2022.
World J Gastrointest Surg. Sep 27, 2022; 14(9): 963-975
Published online Sep 27, 2022. doi: 10.4240/wjgs.v14.i9.963
Published online Sep 27, 2022. doi: 10.4240/wjgs.v14.i9.963
Figure 4 Visualization of predictive model based on artificial neural network algorithm.
A: Artificial neural network model; B: Variable importance using connection weight. BMI: Body mass index; PCT: Procalcitonin; PNI: Prognostic nutrition index; NAR: Neutrophil-to-albumin ratio; PLR: Platelet-to-lymphocyte ratio; HALP: Hemoglobin level × albumin level × lymphocyte count/platelet count ratio.
- Citation: Long ZD, Lu C, Xia XG, Chen B, Xing ZX, Bie L, Zhou P, Ma ZL, Wang R. Personal predictive model based on systemic inflammation markers for estimation of postoperative pancreatic fistula following pancreaticoduodenectomy. World J Gastrointest Surg 2022; 14(9): 963-975
- URL: https://www.wjgnet.com/1948-9366/full/v14/i9/963.htm
- DOI: https://dx.doi.org/10.4240/wjgs.v14.i9.963