Tamás Varga – Word embedding, knowledge graphs, and GAT neural network application: predicting the severity of acute pancreatitis

2025 Survey Statistics and Data Analytics MSc Supervisor Márton Rakovics

Tamás Varga (LinkedIn)

In the thesis, the author attempted to predict the severity of acute pancreatitis using a graph-based neural network that employs an attention mechanism in order to present a framework and deep learning model that enables the predictive analysis of tabular data using a graph-based approach. The thesis describes in detail the methodology and application of the Graph Attention Network model, with a particular focus on presenting the most optimal parameter settings and decision points for the research problem. In order to put the results of the neural network-based analysis into context, the author analyzed the research problem using machine learning methods and compared the results with those of the deep learning algorithm. As a result, the thesis contributes to the methodological and practical understanding of the deep learning model based on the attention mechanism discussed.

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