most citedContrastive Learning on Medical Intents for Sequential Prescription Recommendation

6 citations · 10 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2024

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…

cs.LG2024

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…

cs.LG20246 cited

Contrastive Learning on Medical Intents for Sequential Prescription Recommendation

Arya Hadizadeh Moghaddam, Mohsen Nayebi Kerdabadi, Mei Liu +1

Recent advancements in sequential modeling applied to Electronic Health Records (EHR) have greatly influenced prescription recommender systems. While the recent literature on drug…

cs.LG20233 cited

Contrastive Learning of Temporal Distinctiveness for Survival Analysis in Electronic Health Records

Mohsen Nayebi Kerdabadi, Arya Hadizadeh Moghaddam, Bin Liu +2

Survival analysis plays a crucial role in many healthcare decisions, where the risk prediction for the events of interest can support an informative outlook for a patient's medical…

cs.LG20231 cited

A Semantic Modular Framework for Events Topic Modeling in Social Media

Arya Hadizadeh Moghaddam, Saeedeh Momtazi

The advancement of social media contributes to the growing amount of content they share frequently. This framework provides a sophisticated place for people to report various real-…