Visualizing the Workflow of a Graph Neural Network (GNN) Based Machine Learning Model for Patient Data

This template presents a three-step workflow for a machine learning process involving patient data. The first step is "Data," which includes a "Dataset" and a "Patient Graph" with nodes labeled to . The second step is "Machine Learning," where a "GNN Based Model" is applied. The final step is "Output," which features an "Output Layer" and "Predictions" represented by check and cross marks. Arrows indicate the flow from data input to model processing and finally to the output predictions. This visual aid helps in understanding the overall process of using a GNN model to analyze patient data and generate relevant predictions.