Nassim Oufattole

According to our database, Nassim Oufattole authored at least 9 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, June, 2025

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, February, 2025

MEDS: Building Models and Tools in a Reproducible Health AI Ecosystem.

Matthew B. A. McDermott, Justin Xu, Teya S. Bergamaschi, Hyewon Jeong, Simon A. Lee, Nassim Oufattole, Patrick Rockenschaub, Kamile Stankeviciute, Ethan Steinberg, Jimeng Sun, Robin Van De Water, Michael Wornow, John Wu, Zhenbang Wu

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

LEMoN: Label Error Detection using Multimodal Neighbors.

Haoran Zhang, Aparna Balagopalan, Nassim Oufattole, Hyewon Jeong, Yan Wu, Jiacheng Zhu, Marzyeh Ghassemi

Proceedings of the Forty-second International Conference on Machine Learning, 2025

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

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

Proceedings of the Machine Learning for Healthcare Conference, 2024

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

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

2020

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