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Jennifer J. Liang
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2020 – today
- 2023
- [j3]Giridhar Kaushik Ramachandran, Kevin Lybarger, Yaya Liu, Diwakar Mahajan, Jennifer J. Liang, Ching-Huei Tsou, Meliha Yetisgen, Özlem Uzuner:
Extracting medication changes in clinical narratives using pre-trained language models. J. Biomed. Informatics 139: 104302 (2023) - [j2]Diwakar Mahajan, Jennifer J. Liang, Ching-Huei Tsou, Özlem Uzuner:
Overview of the 2022 n2c2 shared task on contextualized medication event extraction in clinical notes. J. Biomed. Informatics 144: 104432 (2023) - 2022
- [c18]Venkata Joopudi, Bharath Dandala, Ching-Huei Tsou, Jennifer J. Liang:
Hierarchy-aware Adverse Reaction Embeddings for Signal Detection. AMIA 2022 - [c17]Jennifer J. Liang, Eric Lehman, Ananya Iyengar, Diwakar Mahajan, Preethi Raghavan, Cindy Y. Chang, Peter Szolovits:
Towards Generalizable Methods for Automating Risk Score Calculation. BioNLP@ACL 2022: 426-431 - [i6]Eric Lehman, Vladislav Lialin, Katelyn Y. Legaspi, Anne Janelle R. Sy, Patricia Therese S. Pile, Nicole Rose I. Alberto, Richard Raymund R. Ragasa, Corinna Victoria M. Puyat, Isabelle Rose I. Alberto, Pia Gabrielle I. Alfonso, Marianne Taliño, Dana Moukheiber, Byron C. Wallace, Anna Rumshisky, Jennifer J. Liang, Preethi Raghavan, Leo Anthony Celi, Peter Szolovits:
Learning to Ask Like a Physician. CoRR abs/2206.02696 (2022) - [i5]Giridhar Kaushik Ramachandran, Kevin Lybarger, Yaya Liu, Diwakar Mahajan, Jennifer J. Liang, Ching-Huei Tsou, Meliha Yetisgen, Özlem Uzuner:
Extracting Medication Changes in Clinical Narratives using Pre-trained Language Models. CoRR abs/2208.08417 (2022) - 2021
- [c16]Nicolas R. Fauceglia, Mustafa Canim, Alfio Gliozzo, Jennifer J. Liang, Nancy Xin Ru Wang, Douglas Burdick, Nandana Mihindukulasooriya, Vittorio Castelli, Guy Feigenblat, David Konopnicki, Yannis Katsis, Radu Florian, Yunyao Li, Salim Roukos, Avirup Sil:
KAAPA: Knowledge Aware Answers from PDF Analysis. AAAI 2021: 16029-16031 - [c15]Rachita Chandra, Preethi Raghavan, Jennifer J. Liang, Diwakar Mahajan, Peter Szolovits:
emrKBQA: Creating a Clinical Knowledge-Base Question Answering Dataset. AMIA 2021 - [c14]Jennifer J. Liang, Diwakar Mahajan:
An Exploration of Reasons Behind Drug De-escalation and Discontinuation Events in Clinical Notes. AMIA 2021 - [c13]Jennifer J. Liang, Ching-Huei Tsou, Bharath Dandala, Ananya Poddar, Venkata Joopudi, Diwakar Mahajan, John M. Prager, Preethi Raghavan, Michele Payne:
Reducing Physicians' Cognitive Load During Chart Review: A Problem-Oriented Summary of the Patient Electronic Record. AMIA 2021 - [c12]Diwakar Mahajan, Jennifer J. Liang, Ananya Poddar, Sasha Ballen, Ching-Huei Tsou:
Evaluating Social Determinants of Health in Clinical Communications Data. AMIA 2021 - [c11]Diwakar Mahajan, Jennifer J. Liang, Ching-Huei Tsou:
Toward Understanding Clinical Context of Medication Change Events in Clinical Narratives. AMIA 2021 - [c10]Ching-Huei Tsou, Diwakar Mahajan, Jennifer J. Liang:
Extracting Daily Dosage from Medication Instructions in EHRs: An Automated Approach and Lessons Learned. AMIA 2021 - [c9]Preethi Raghavan, Jennifer J. Liang, Diwakar Mahajan, Rachita Chandra, Peter Szolovits:
emrKBQA: A Clinical Knowledge-Base Question Answering Dataset. BioNLP@NAACL-HLT 2021: 64-73 - [c8]Diwakar Mahajan, Ching-Huei Tsou, Jennifer J. Liang:
IBMResearch at MEDIQA 2021: Toward Improving Factual Correctness of Radiology Report Abstractive Summarization. BioNLP@NAACL-HLT 2021: 302-310 - 2020
- [c7]Bharath Dandala, Venkata Joopudi, Ching-Huei Tsou, Jennifer J. Liang, Parthasarathy Suryanarayanan:
Joint Modelling of Entities and Relations for Adverse Drug Event Extraction using Knowledge-aware Neural Attentive Deep Learning Models. AMIA 2020 - [c6]Diwakar Mahajan, Jennifer J. Liang:
Extracting Multi-Dimensional Context for Medication Change Events in Clinical Narratives. AMIA 2020 - [c5]Parthasarathy Suryanarayanan, Edward A. Epstein, Abhishek Malvankar, Burn L. Lewis, Lou Degenaro, Jennifer J. Liang, Ching-Huei Tsou, Divya R. Pathak:
Timely and Efficient AI Insights on EHR: System Design. AMIA 2020 - [i4]Diwakar Mahajan, Jennifer J. Liang, Ching-Huei Tsou:
Extracting Daily Dosage from Medication Instructions in EHRs: An Automated Approach and Lessons Learned. CoRR abs/2005.10899 (2020) - [i3]Diwakar Mahajan, Jennifer J. Liang, Ching-Huei Tsou:
Toward Understanding Clinical Context of Medication Change Events in Clinical Narratives. CoRR abs/2011.08835 (2020)
2010 – 2019
- 2018
- [c4]Anusri Pampari, Preethi Raghavan, Jennifer J. Liang, Jian Peng:
emrQA: A Large Corpus for Question Answering on Electronic Medical Records. EMNLP 2018: 2357-2368 - [i2]Preethi Raghavan, Siddharth Patwardhan, Jennifer J. Liang, Murthy V. Devarakonda:
Annotating Electronic Medical Records for Question Answering. CoRR abs/1805.06816 (2018) - [i1]Anusri Pampari, Preethi Raghavan, Jennifer J. Liang, Jian Peng:
emrQA: A Large Corpus for Question Answering on Electronic Medical Records. CoRR abs/1809.00732 (2018) - 2017
- [j1]Murthy V. Devarakonda, Neil Mehta, Ching-Huei Tsou, Jennifer J. Liang, Amy S. Nowacki, John Eric Jelovsek:
Automated problem list generation and physicians perspective from a pilot study. Int. J. Medical Informatics 105: 121-129 (2017) - [c3]Jennifer J. Liang, Ching-Huei Tsou, Murthy V. Devarakonda:
Ground Truth Creation for Complex Clinical NLP Tasks - an Iterative Vetting Approach and Lessons Learned. CRI 2017 - [c2]John M. Prager, Jennifer J. Liang, Murthy V. Devarakonda:
SemanticFind: Locating What You Want in a Patient Record, Not Just What You Ask For. CRI 2017 - 2015
- [c1]Ching-Huei Tsou, Murthy V. Devarakonda, Jennifer J. Liang:
Toward Generating Domain-Specific / Personalized Problem Lists from Electronic Medical Records. AAAI Fall Symposia 2015: 66-
Coauthor Index
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