Jennifer Liang
Jennifer Liang
IBM TJ Watson Research Center
Verified email at - Homepage
Cited by
Cited by
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
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
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
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
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
Toward generating domain-specific/personalized problem lists from electronic medical records
CH Tsou, M Devarakonda, JJ Liang
AAAI 2015 Fall Symposium, 66-69, 2015
emrkbqa: A clinical knowledge-base question answering dataset
P Raghavan, JJ Liang, D Mahajan, R Chandra, P Szolovits
Association for Computational Linguistics, 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
Annotating electronic medical records for question answering
P Raghavan, S Patwardhan, JJ Liang, MV Devarakonda
arXiv preprint arXiv:1805.06816, 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
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
Toward understanding clinical context of medication change events in clinical narratives
D Mahajan, JJ Liang, CH Tsou
AMIA Annual Symposium Proceedings 2021, 833, 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
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
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
Extracting patient information from an electronic medical record
JJ Liang, T Pedapati, JM Prager
US Patent 11,031,107, 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
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
Automatic problem identification by disease category using deep learning
CH Tsou, S Messaoud, JJ Liang, MV Devarakonda
IBM Research, Tech. Rep, 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
The system can't perform the operation now. Try again later.
Articles 1–20