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©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 5 Efficiency evaluation of machine learning-based prediction model.
A: Decision curve analysis (DCA) of training set; B: DCA of testing set. SVM: Support vector machine; DT: Decision tree; ANN: Artificial neural network; RFC: Random forest classifier; 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