Skip to main content
Insights into Imaging
Fig. 4 | Insights into Imaging

Fig. 4

From: Current updates in machine learning in the prediction of therapeutic outcome of hepatocellular carcinoma: what should we know?

Fig. 4

Schematic diagram of a Bayesian network (BN). A BN is a directed acyclic graph that consists of nodes, edges and conditional probability. The nodes represent random parameters, and the directed edges between the nodes represent conditional dependencies (from the parent node to its child nodes). The interdependence between the nodes is expressed with conditional probability, and the classification result is the class with the highest conditional probability

Back to article page