What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams. - Di Jin; Eileen Pan; Nassim Oufattole; Wei-Hung Weng; Hanyi Fang; Peter Szolovits (CoRR, 2020)

A Knowledge Distillation Approach for Sepsis Outcome Prediction from Multivariate Clinical Time Series. - Anna Wong; Shu Ge; Nassim Oufattole; Adam Dejl; Megan Su; Ardavan Saeedi; Li-Wei H. Lehman (CoRR, 2023)

Event-Based Contrastive Learning for Medical Time Series. - Hyewon Jeong; Nassim Oufattole; Aparna Balagopalan; Matthew B. A. McDermott; Payal Chandak; Marzyeh Ghassemi; Collin M. Stultz (CoRR, 2023)

Event-Based Contrastive Learning for Medical Time Series. - Nassim Oufattole; Hyewon Jeong; Matthew B. A. McDermott; Aparna Balagopalan; Bryan Jangeesingh; Marzyeh Ghassemi; Collin M. Stultz (MLHC, 2024)

LEMoN: Label Error Detection using Multimodal Neighbors. - Haoran Zhang 003; Aparna Balagopalan; Nassim Oufattole; Hyewon Jeong; Yan Wu; Jiacheng Zhu; Marzyeh Ghassemi (CoRR, 2024)

MEDS-Tab: Automated tabularization and baseline methods for MEDS datasets. - Nassim Oufattole; Teya S. Bergamaschi; Aleksia Kolo; Hyewon Jeong; Hanna Gaggin; Collin M. Stultz; Matthew B. A. McDermott (CoRR, 2024)

Foundation Model of Electronic Medical Records for Adaptive Risk Estimation. - Pawel Renc; Michal K. Grzeszczyk; Nassim Oufattole; Deirdre Goode; Yugang Jia; Szymon Bieganski; Matthew B. A. McDermott; Jaroslaw Was; Anthony E. Samir; Jonathan W. Cunningham; David W. Bates; Arkadiusz Sitek (CoRR, 2025)

Federated Timeline Synthesis: Scalable and Private Methodology For Model Training and Deployment. - Pawel Renc; Michal K. Grzeszczyk; Linglong Qian; Nassim Oufattole; Jeff Rasley; Arkadiusz Sitek (CoRR, 2025)