1 citations · 1 across the 4 of their papers we have counts for
5 papers
LearnActCoder: Role-Aware Error Memory for Adaptive Clinical Coding Agents
Meysam Ghaffari, Bhaskar Sen, Nasim Sabetpour +3
Clinical coding agents repeatedly encounter the same failure modes, including unsupported codes, missed documented conditions, specificity errors, and procedure-coding convention m…
A Multi-Agent Pipeline for Source-Grounded Synthetic Note Generation from Longitudinal Structured EHR
Nina Fatehi, Reihaneh Hassanzadeh, Meysam Ghaffari +2
Structured EHR is abundant but sparse, coded, and difficult to use directly for note-centric clinical modeling. We present MedNotes, a multi-agent synthetic data generation pipelin…
Structured Evidence Routing for Incident Risk Prediction from Multimodal Longitudinal EHRs
Animesh Agarwal, Meysam Ghaffari, Nina Fatehi +1
Incident risk prediction from longitudinal electronic health records (EHRs) is challenging because relevant signals are multimodal, weak in isolation, and distributed across irregu…
Context Poisoning as Extreme-Value Attention Interference in Long-Context Language Models
Meysam Ghaffari, Nina Fatehi, Bhaskar Sen +2
Large language models can process increasingly long prompts, yet their ability to locate and use decisive evidence may degrade as irrelevant or confusable context is added. We form…
Deep Learning-Based Weather-Related Power Outage Prediction with Socio-Economic and Power Infrastructure Data
Xuesong Wang, Nina Fatehi, Caisheng Wang +1
This paper presents a deep learning-based approach for hourly power outage probability prediction within census tracts encompassing a utility company's service territory. Two disti…