7 papers · 1 filter
Dual-Scale Relational Graph Transformers for Ecosystem-Aware Fraud Detection
Mohsen Nayebi Kerdabadi, Xinrou Li, Yao Xiao +2
Account takeover (ATO) fraud is a growing threat to digital banking, requiring effective detection while minimizing friction for legitimate customers. Production systems predominan…
RASPER: Reward-Aligned Summarization of Clinical Notes for EHR Outcome Prediction
Arya Hadizadeh Moghaddam, Mohsen Nayebi Kerdabadi, Chen Chen +2
Unstructured discharge notes in Electronic Health Records (EHRs) often carry signal complementary to structured medical codes, holding patient-specific evidence that standardized c…
REFINE: LLM Refinement over Budgeted Text-Attributed Graphs for Personalized Medical Concept Representation
Mohsen Nayebi Kerdabadi, Arya Hadizadeh Moghaddam, Dongjie Wang +1
Learning rich medical concept representations is essential for EHR prediction. Text-attributed knowledge graphs (TKGs) provide a natural foundation by organizing heterogeneous medi…
Import What You Need: Learning When and How to Augment EHR Graphs with External Knowledge
Chen Chen, Mohsen Nayebi Kerdabadi, Dongjie Wang +2
Longitudinal prediction from electronic health records (EHRs) is limited by the sparsity and irregularity in patient trajectories, and knowledge augmentation with external knowledg…
Text-Attributed Knowledge Graph Enrichment with Large Language Models for Medical Concept Representation
Mohsen Nayebi Kerdabadi, Arya Hadizadeh Moghaddam, Chen Chen +2
In electronic health record (EHR) mining, learning high-quality representations of medical concepts (e.g., standardized diagnosis, medication, and procedure codes) is fundamental f…
RePrompT: Recurrent Prompt Tuning for Integrating Structured EHR Encoders with Large Language Models
Arya Hadizadeh Moghaddam, Drew Ross, Mohsen Nayebi Kerdabadi +2
Large Language Models (LLMs) have shown strong promise for mining Electronic Health Records (EHRs) by reasoning over longitudinal clinical information to capture context-rich patie…
User-Adaptive Meta-Learning for Cold-Start Medication Recommendation with Uncertainty Filtering
Arya Hadizadeh Moghaddam, Mohsen Nayebi Kerdabadi, Dongjie Wang +2
Large-scale Electronic Health Record (EHR) databases have become indispensable in supporting clinical decision-making through data-driven treatment recommendations. However, existi…