Article

Graph-based Fusion Modeling and Explanation for Disease Trajectory Prediction

2022-10-28

Abstract excerpt

We propose a relational graph to incorporate clinical similarity between patients while building personalized clinical event predictors with a focus on hospitalized COVID-19 patients. Our graph formation process fuses heterogeneous data, i.e., chest X-rays as node features and non-imaging EHR for edge formation. While node represents a snap-shot in time for a single patient, weighted edge structure encodes complex...

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Literature Corpus work: 8fe2ffe4-b435-507a-95f4-4c0a7b3eae7c
DOI: 10.1101/2022.10.25.22281469

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