| An extensive data processing pipeline for mimic-iv M Gupta, B Gallamoza, N Cutrona, P Dhakal, R Poulain, R Beheshti Machine Learning for Health, 311-325, 2022 | 35 | 2022 |
| Improving fairness in ai models on electronic health records: The case for federated learning methods R Poulain, MF Bin Tarek, R Beheshti Proceedings of the 2023 ACM conference on fairness, accountability, and …, 2023 | 16 | 2023 |
| Few-Shot Learning with Semi-Supervised Transformers for Electronic Health Records R Poulain, M Gupta, R Beheshti Proceedings of the 7th Machine Learning for Healthcare Conference 182 …, 2022 | 11 | 2022 |
| Transformer-based multi-target regression on electronic health records for primordial prevention of cardiovascular disease R Poulain, M Gupta, R Foraker, R Beheshti 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2021 | 8 | 2021 |
| Bias patterns in the application of LLMs for clinical decision support: A comprehensive study R Poulain, H Fayyaz, R Beheshti arXiv preprint arXiv:2404.15149, 2024 | 7 | 2024 |
| Flexible-Window Predictions on Electronic Health Records M Gupta, R Poulain, TLT Phan, HT Bunnell, R Beheshti Proceedings of the AAAI Conference on Artificial Intelligence 36, 12510-12516, 2022 | 4 | 2022 |
| Graph transformers on EHRs: Better representation improves downstream performance R Poulain, R Beheshti The Twelfth International Conference on Learning Representations, 2024 | 3 | 2024 |
| Aligning (Medical) LLMs for (Counterfactual) Fairness R Poulain, H Fayyaz, R Beheshti arXiv preprint arXiv:2408.12055, 2024 | | 2024 |
| Fairness-Optimized Synthetic EHR Generation for Arbitrary Downstream Predictive Tasks MFB Tarek, R Poulain, R Beheshti arXiv preprint arXiv:2406.02510, 2024 | | 2024 |
Rahmatollah BeheshtiAssistant Professor, University of Delaware在 udel.edu 的电子邮件经过验证
