ArticleAMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science2023
Hypergraph Transformers for EHR-based Clinical Predictions.
Article in AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Enhanced Atrial Fibrillation Prediction in ESUS Patients with Hypergraph-based Pre-training.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2026Article
- Knowledge Graph Augmented Large Language Models for Disease Prediction.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2026Article
- HypKG: Hypergraph-based Knowledge Graph Contextualization for Precision Healthcare.The semantic Web--ISWC ... : ... International Semantic Web Conference ... proceedings. International Semantic Web Conference · 2026Article
- Multimodal Fusion of EHR in Structures and Semantics: Integrating Clinical Records and Notes with Hypergraph and LLM.Studies in health technology and informatics · 2025Article
- Type 2 Diabetes Subtyping via Phenotype and Genotype Co-Learning.Studies in health technology and informatics · 2025Article
- Semantic Knowledge Augmented Hypergraph Contrastive Representation Learning for Zero-Shot Biomedical Text Classification.Advances in knowledge discovery and data mining : ... Pacific-Asia Conference, PAKDD ..., proceedings. Pacific-Asia Conference on Knowledge Discovery and Data Mining · 2025Article
- Graph Artificial Intelligence in Medicine.Annual review of biomedical data science · 2024Review
- TACCO: Task-guided Co-clustering of Clinical Concepts and Patient Visits for Disease Subtyping based on EHR Data.KDD : proceedings. International Conference on Knowledge Discovery & Data Mining · 2024Article
- KERAP: A Knowledge-Enhanced Reasoning Approach for Accurate Zero-shot Diagnosis Prediction Using Multi-agent LLMs.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2024Article
- Enhancing Semantic and Structure Modeling of Diseases for Diagnosis Prediction.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2024Article
- Incorporating Patient Similarity and Clinical Temporality in Disease Prognostic Modeling.IEEE transactions on computational biology and bioinformaticsArticle
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
Electronic health records (EHR) data contain rich information about patients' health conditions including diagnosis, procedures, medications and etc., which have been widely used to facilitate digital medicine. Despite its importance, it is often non-trivial to learn useful representations for patients' visits that support downstream clinical predictions, as each visit contains massive and diverse medical codes. As a result, the complex interactions among medical codes are often not captured, which leads to substandard predictions. To better model these complex relations, we leverage hypergraphs, which go beyond pairwise relations to jointly learn the representations for visits and medical codes. We also propose to use the self-attention mechanism to automatically identify the most relevant medical codes for each visit based on the downstream clinical predictions with better generalization power. Experiments on two EHR datasets show that our proposed method not only yields superior performance, but also provides reasonable insights towards the target tasks.
Identifiers
37350881PMC10283128What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.