Jennifer J. Liang

Most-cited papers

1. A Novel System for Extractive Clinical Note Summarization using EHR Data

   Jennifer J. Liang, Ching-Huei Tsou, Ananya Poddar

   2019Proceedings of the 2nd Clinical Natural Language Processing Workshop57 citations Open access

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2. Automated problem list generation and physicians perspective from a pilot study

   M. Devarakonda, Neil Mehta, Ching-Huei Tsou, Jennifer J. Liang +2 more

   2017Int. J. Medical Informatics42 citations Open access

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3. Identification of Semantically Similar Sentences in Clinical Notes: Iterative Intermediate Training Using Multi-Task Learning

   Diwakar Mahajan, Ananya Poddar, Jennifer J. Liang, Yen-Ting Lin +4 more

   2020JMIR Medical Informatics32 citations Open access

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4. Overview of the 2022 n2c2 Shared Task on Contextualized Medication Event Extraction in Clinical Notes

   Diwakar Mahajan, Jennifer J. Liang, Ching-Huei Tsou, Özlem Uzuner

   2023Journal of Biomedical Informatics30 citations Open access

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5. Toward Understanding Clinical Context of Medication Change Events in Clinical Narratives

   Diwakar Mahajan, Jennifer J. Liang, Ching-Huei Tsou

   2020American Medical Informatics Association Annual Symposium27 citations

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6. Extraction of Information Related to Drug Safety Surveillance From Electronic Health Record Notes: Joint Modeling of Entities and Relations Using Knowledge-Aware Neural Attentive Models

   Bharath Dandala, Venkata Joopudi, Ching-Huei Tsou, Jennifer J. Liang +1 more

   2020JMIR Medical Informatics26 citations Open access

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7. Extracting medication changes in clinical narratives using pre-trained language models

   Giridhar Kaushik Ramachandran, Kevin Lybarger, Yaya Liu, Diwakar Mahajan +4 more

   2022Journal of Biomedical Informatics17 citations Open access

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8. Ground Truth Creation for Complex Clinical NLP Tasks – an Iterative Vetting Approach and Lessons Learned

   Jennifer J. Liang, Ching-Huei Tsou, M. Devarakonda

   2017Summit on Clinical Research Informatics13 citations

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9. Timely and Efficient AI Insights on EHR: System Design

   Parthasarathy Suryanarayanan, E. Epstein, Abhishek Malvankar, B. Lewis +4 more

   2020American Medical Informatics Association Annual Symposium12 citations

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10. IBMResearch at MEDIQA 2021: Toward Improving Factual Correctness of Radiology Report Abstractive Summarization

    Diwakar Mahajan, Ching-Huei Tsou, Jennifer J. Liang

    2021Workshop on Biomedical Natural Language Processing11 citations Open access

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11. Reducing Physicians' Cognitive Load During Chart Review: A Problem-Oriented Summary of the Patient Electronic Record

    Jennifer J. Liang, Ching-Huei Tsou, Bharath Dandala, Ananya Poddar +5 more

    2021American Medical Informatics Association Annual Symposium10 citations

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12. Extracting Daily Dosage from Medication Instructions in EHRs: An Automated Approach and Lessons Learned

    Diwakar Mahajan, Jennifer J. Liang, Ching-Huei Tsou

    2020American Medical Informatics Association Annual Symposium10 citations

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13. Toward Generating Domain-Specific / Personalized Problem Lists from Electronic Medical Records

    Ching-Huei Tsou, M. Devarakonda, Jennifer J. Liang

    2015AAAI Fall Symposia9 citations

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14. Hierarchy-aware Adverse Reaction Embeddings for Signal Detection

    Venkata Joopudi, Bharath Dandala, Ching-Huei Tsou, Jennifer J. Liang

    2022American Medical Informatics Association Annual Symposium2 citations

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15. Large Language Models to Extract Cancer Staging Data From Clinical Documentation at Scale.

    S. Abhyankar, Rajesh Rao, Mehraveh Salehi, Jennifer J. Liang +2 more

    2026JCO Clinical Cancer Informatics1 citations

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16. Capturing Individual-level Social Determinants from Clinical Text.

    Jennifer J. Liang, Diwakar Mahajan, Ananya Iyengar, Ching-Huei Tsou

    2023AMIA ... Annual Symposium proceedings. AMIA Symposium0 citations

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17. Evaluating Social Determinants of Health in Clinical Communications Data

    Diwakar Mahajan, Jennifer J. Liang, Ananya Poddar, S. Ballen +1 more

    2021American Medical Informatics Association Annual Symposium0 citations

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18. An Exploration of Reasons Behind Drug De-escalation and Discontinuation Events in Clinical Notes

    Jennifer J. Liang, Diwakar Mahajan

    2021American Medical Informatics Association Annual Symposium0 citations

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19. Extraction of Information Related to Drug Safety Surveillance From Electronic Health Record Notes: Joint Modeling of Entities and Relations Using Knowledge-Aware Neural Attentive Models (Preprint)

    Bharath Dandala, Venkata Joopudi, Ching-Huei Tsou, Jennifer J. Liang +1 more

    20200 citations Open access

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20. Joint Modelling of Entities and Relations for Adverse Drug Event Extraction using Knowledge-aware Neural Attentive Deep Learning Models

    Bharath Dandala, Venkata Joopudi, Ching-Huei Tsou, Jennifer J. Liang +1 more

    2020American Medical Informatics Association Annual Symposium0 citations

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21. Extracting Multi-Dimensional Context for Medication Change Events in Clinical Narratives

    Diwakar Mahajan, Jennifer J. Liang

    2020American Medical Informatics Association Annual Symposium0 citations

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