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 2 Variable filtering and weight allocation.
A: Correlation matrix analysis; B: Weight distribution of the candidate variables. BMI: Body mass index; ASA: American Society of Anesthesiologists; CRP: C-reactive protein; WBC: White blood cell; PCT: Procalcitonin; AGR: Albumin-to-globulin ratio; PNI: Prognostic nutrition index; NLR: Neutrophil-to-lymphocyte ratio; NAR: Neutrophil-to-albumin ratio; PLR: Platelet-to-lymphocyte ratio; LMR: Lymphocyte-to-monocyte ratio; HALP: Hemoglobin level × albumin level × lymphocyte count/platelet count ratio; RFC: Random forest classifier; SVM: Support vector machine; DT: Decision tree; ANN: Artificial neural network; XGboost: Extreme gradient boosting.
- 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