Article

A Heterogeneous Graph Neural Network Framework for Multi-Horizon Stroke Mortality Prediction

2026-06-10

Abstract excerpt

<h4>ABSTRACT</h4> <h4>Background</h4> Machine learning models for stroke mortality prediction typically treat each time horizon independently and use flat tabular features that ignore the relational structure of electronic health records (EHRs). In this pilot study, we leveraged graph-based machine learning models to predict post stroke all-cause-mortality across three different time horizons. <h4>Methods</h4>...

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Literature Corpus work: 259f4cfe-8bb1-5765-b10e-8634bdf99a25
DOI: 10.64898/2026.06.09.26355176

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