Figure 2 | Scientific Reports

Figure 2

From: Preoperative prediction of the need for arterial and central venous catheterization using machine learning techniques

Figure 2

Feature importance of the DNN model for preoperative prediction for the necessity of invasive catheter insertion via SHAP assessment. (A) Feature importance of the DNN model for the preoperative prediction of the need for an arterial catheter insertion (B) Feature importance of the DNN model for the preoperative prediction of the need for a central venous catheter insertion. SHAP, SHapley Additive exPlanation; DNN, deep neural network; PPPD, pylorus preserving pancreaticoduodenectomy; GA_intu, general anesthesia with endotracheal intubation; plt, platelet; glu, glucose; RP, radical prostatectomy; emop, emergency operation; gpt, glutamate pyruvate transaminase; got, glutamate oxaloacetate transaminase; alb, albumin; bun, blood urea nitrogen; DP, distal pancreatectomy; LRAP, laparoscopic robotic assisted procedure; PN, partial nephrectomy; PH, partial hepatectomy; cl, chloride; RC, radical cystectomy; LC, laparoscopic cholecystectomy; hb, hemoglobin; TP, total pancreatectomy; PD, pancreaticoduodenectomy; EBD, excision of other bile duct; crp, c-reactive protein; LL, lobectomy of liver.

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