| emrqa: A large corpus for question answering on electronic medical records A Pampari, P Raghavan, J Liang, J Peng arXiv preprint arXiv:1809.00732, 2018 | 128 | 2018 |
| A novel system for extractive clinical note summarization using EHR data J Liang, CH Tsou, A Poddar Proceedings of the 2nd clinical natural language processing workshop, 46-54, 2019 | 42 | 2019 |
| Automated problem list generation and physicians perspective from a pilot study MV Devarakonda, N Mehta, CH Tsou, JJ Liang, AS Nowacki, JE Jelovsek International journal of medical informatics 105, 121-129, 2017 | 42 | 2017 |
| Identification of semantically similar sentences in clinical notes: Iterative intermediate training using multi-task learning D Mahajan, A Poddar, JJ Liang, YT Lin, JM Prager, P Suryanarayanan, ... JMIR medical informatics 8 (11), e22508, 2020 | 18 | 2020 |
| Extraction of information related to drug safety surveillance from electronic health record notes: Joint modeling of entities and relations using knowledge-aware neural … B Dandala, V Joopudi, CH Tsou, JJ Liang, P Suryanarayanan JMIR medical informatics 8 (7), e18417, 2020 | 18 | 2020 |
| Toward generating domain-specific/personalized problem lists from electronic medical records CH Tsou, M Devarakonda, JJ Liang AAAI 2015 Fall Symposium, 66-69, 2015 | 13 | 2015 |
| emrkbqa: A clinical knowledge-base question answering dataset P Raghavan, JJ Liang, D Mahajan, R Chandra, P Szolovits Association for Computational Linguistics, 2021 | 12 | 2021 |
| Ground truth creation for complex clinical nlp tasks–an iterative vetting approach and lessons learned JJ Liang, CH Tsou, MV Devarakonda AMIA Summits on Translational Science Proceedings 2017, 203, 2017 | 12 | 2017 |
| Annotating electronic medical records for question answering P Raghavan, S Patwardhan, JJ Liang, MV Devarakonda arXiv preprint arXiv:1805.06816, 2018 | 11 | 2018 |
| Identification of Related Electronic Medical Record Documents in a Question and Answer System MV Devarakonda, JJ Liang, SA Patwardhan, P Raghavan US Patent App. 15/336,261, 2018 | 8 | 2018 |
| Watson-aided non-linear problem-oriented clinical visit preparation on tablet computer P Ruchikachorn, JJ Liang, M Devarakonda, K Mueller The IEEE VIS 2014 Workshop on Visualization of Electronic Health Records, 1-4, 2014 | 6 | 2014 |
| Toward understanding clinical context of medication change events in clinical narratives D Mahajan, JJ Liang, CH Tsou AMIA Annual Symposium Proceedings 2021, 833, 2021 | 5 | 2021 |
| Extracting daily dosage from medication instructions in EHRs: an automated approach and lessons learned D Mahajan, JJ Liang, CH Tsou arXiv preprint arXiv:2005.10899, 2020 | 4 | 2020 |
| Timely and efficient AI insights on EHR: system design P Suryanarayanan, EA Epstein, A Malvankar, BL Lewis, L DeGenaro, ... AMIA Annual Symposium Proceedings 2020, 1180, 2020 | 4 | 2020 |
| SemanticFind: Locating what you want in a patient record, not just what you ask for JM Prager, JJ Liang, MV Devarakonda AMIA Summits on Translational Science Proceedings 2017, 249, 2017 | 4 | 2017 |
| Extracting patient information from an electronic medical record JJ Liang, T Pedapati, JM Prager US Patent 11,031,107, 2021 | 3 | 2021 |
| IBMResearch at MEDIQA 2021: Toward improving factual correctness of radiology report abstractive summarization D Mahajan, CH Tsou, JJ Liang Proceedings of the 20th Workshop on Biomedical Language Processing, 302-310, 2021 | 2 | 2021 |
| 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 |
| Automatic problem identification by disease category using deep learning CH Tsou, S Messaoud, JJ Liang, MV Devarakonda IBM Research, Tech. Rep, 2016 | 1 | 2016 |
| Extracting medication changes in clinical narratives using pre-trained language models GK Ramachandran, K Lybarger, Y Liu, D Mahajan, JJ Liang, CH Tsou, ... Journal of Biomedical Informatics 139, 104302, 2023 | | 2023 |
