Development of a deep learning model for guiding treatment decisions of acute variceal bleeding in patients with cirrhosis

Figure 2 Workflow of the development and testing of artificial intelligence-acute variceal bleeding model. A: Overview of the prediction pipeline; B: Architecture of artificial intelligence-acute variceal bleeding; C: Architecture of atrous spatial pyramid pooling; D: Architecture of blocks. SBP: Systolic blood pressure; HR: Heart rate; AVB: Acute variceal bleeding; AI: Artificial intelligence; P: Positive; N: Negative; ICU: Intensive care unit; AUC: Area under the curve; RB: Residual block; CB: Convolution block; LB: Linear block; ASPP: Atrous spatial pyramid pooling; ReLU: Rectified linear unit; Conv: Convolution; Norm: Normalization; Drop: Dropout.