ERASER: A benchmark to evaluate rationalized NLP models J DeYoung, S Jain, NF Rajani, E Lehman, C Xiong, R Socher, ... arXiv preprint arXiv:1911.03429, 2019 | 340 | 2019 |
Inferring which medical treatments work from reports of clinical trials E Lehman, J DeYoung, R Barzilay, BC Wallace arXiv preprint arXiv:1904.01606, 2019 | 100 | 2019 |
Does BERT Pretrained on Clinical Notes Reveal Sensitive Data? E Lehman, S Jain, K Pichotta, Y Goldberg, BC Wallace arXiv preprint arXiv:2104.07762, 2021 | 49 | 2021 |
Representation learning approaches to detect false arrhythmia alarms from ecg dynamics EP Lehman, RG Krishnan, X Zhao, RG Mark, HL Li-Wei Machine learning for healthcare conference, 571-586, 2018 | 28 | 2018 |
Evidence Inference 2.0: More Data, Better Models J DeYoung, E Lehman, B Nye, IJ Marshall, BC Wallace arXiv preprint arXiv:2005.04177, 2020 | 27 | 2020 |
Understanding clinical trial reports: Extracting medical entities and their relations BE Nye, J DeYoung, E Lehman, A Nenkova, IJ Marshall, BC Wallace AMIA Summits on Translational Science Proceedings 2021, 485, 2021 | 17 | 2021 |
Predicting and understanding unexpected respiratory decompensation in critical care using sparse and heterogeneous clinical data O Ren, AEW Johnson, EP Lehman, M Komorowski, J Aboab, F Tang, ... 2018 IEEE International Conference on Healthcare Informatics (ICHI), 144-151, 2018 | 15 | 2018 |
Learning to Ask Like a Physician E Lehman, V Lialin, KY Legaspi, AJR Sy, PTS Pile, NRI Alberto, ... arXiv preprint arXiv:2206.02696, 2022 | 4 | 2022 |
Do We Still Need Clinical Language Models? E Lehman, E Hernandez, D Mahajan, J Wulff, MJ Smith, Z Ziegler, ... arXiv preprint arXiv:2302.08091, 2023 | 3 | 2023 |
Clinical-T5: Large Language Models Built Using MIMIC Clinical Text E Lehman, A Johnson | 1 | 2023 |
Towards generalizable methods for automating risk score calculation JJ Liang, E Lehman, A Iyengar, D Mahajan, P Raghavan, CY Chang, ... Proceedings of the 21st Workshop on Biomedical Language Processing, 426-431, 2022 | 1 | 2022 |