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AMIA ... Annual Symposium Proceedings. AMIA Symposium|February 23, 2026
Failure Modes of Time Series Interpretability Algorithms for Critical Care Applications and Potential SolutionsShashank Yadav, Vignesh SubbianArxiv|August 6, 2025
Lightweight Language Models are Prone to Reasoning Errors for Complex Computational Phenotyping TasksShashank Yadav, David Maughan, Vignesh SubbianAMIA ... Annual Symposium Proceedings. AMIA Symposium|February 23, 2026
PHEONA: An Evaluation Framework for Large Language Model-based Approaches to Computational PhenotypingSarah A Pungitore, Shashank Yadav, Vignesh SubbianJournal of Biomedical Informatics|December 12, 2025
Graph-spa: A Spatiotemporal Graph Neural Network based framework for ARDS prediction and interpretabilityShashank Yadav, Molly Douglas, Jarrod Mosier, et al.PLOS Digital Health|February 13, 2026
SHREC: A framework for advancing next-generation computational phenotyping with large language modelsSarah Pungitore, Shashank Yadav, Molly Douglas, et al.Arxiv|July 25, 2025
SHREC: A Framework for Advancing Next-Generation Computational Phenotyping with Large Language ModelsSarah A Pungitore, Shashank Yadav, Molly Douglas, et al.Studies in Health Technology and Informatics|June 8, 2022
Data Sharing Between Jail and Community Health Systems: Missing Links and Lessons for Re-Entry SuccessGeoffrey Glowalla, Vignesh SubbianYearbook of Medical Informatics|August 22, 2020
Special Section on Ethics in Health InformaticsCarolyn Petersen, Vignesh Subbian, Journal of Healthcare Informatics Research|August 28, 2023
Assessment of Prediction Tasks and Time Window Selection in Temporal Modeling of Electronic Health Record Data: a Systematic ReviewSarah Pungitore, Vignesh SubbianFrontiers in Artificial Intelligence|March 10, 2022
Transfer Learning Approaches for Neuroimaging Analysis: A Scoping ReviewZaniar Ardalan, Vignesh SubbianPageof 11