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 | 21 | 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 | 9 | 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 | 8 | 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 |
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, 2023 | | 2023 |