Self-Supervised Graph Learning With Hyperbolic Embedding for Temporal Health Event Prediction
Self-Supervised Graph Learning With Hyperbolic Embedding for Temporal Health Event Prediction
Electronic health records (EHRs) have been heavily used in modern healthcare systems for recording patients' admission information to health facilities. Many data-driven approaches employ temporal features in EHR for predicting specific diseases, readmission times, and diagnoses of patients. However, most existing predictive models cannot fully utilize EHR data, due to …