6 papers
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…
Spatio-Temporal Directed Graph Learning for Account Takeover Fraud Detection
Mohsen Nayebi Kerdabadi, William Andrew Byron, Xin Sun +1
Account Takeover (ATO) fraud poses a significant challenge in consumer banking, requiring high recall under strict latency while minimizing friction for legitimate users. Productio…
SurvAttack: Black-Box Attack On Survival Models through Ontology-Informed EHR Perturbation
Mohsen Nayebi Kerdabadi, Arya Hadizadeh Moghaddam, Bin Liu +2
Survival analysis (SA) models have been widely studied in mining electronic health records (EHRs), particularly in forecasting the risk of critical conditions for prioritizing high…
Meta-Learning on Augmented Gene Expression Profiles for Enhanced Lung Cancer Detection
Arya Hadizadeh Moghaddam, Mohsen Nayebi Kerdabadi, Cuncong Zhong +1
Gene expression profiles obtained through DNA microarray have proven successful in providing critical information for cancer detection classifiers. However, the limited number of s…