Jennifer J. Liang

发表

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

Diwakar Mahajan, Jennifer J. Liang, Ching-Huei Tsou, 2020, ArXiv.

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

Murthy V. Devarakonda, Jennifer J. Liang, Ching-Huei Tsou, 2017, CRI.

Automated problem list generation and physicians perspective from a pilot study

Murthy V. Devarakonda, Jennifer J. Liang, Ching-Huei Tsou, 2017, Int. J. Medical Informatics.

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

Murthy V. Devarakonda, Jennifer J. Liang, Ching-Huei Tsou, 2015, AAAI Fall Symposia.

SemanticFind: Locating What You Want in a Patient Record, Not Just What You Ask For

Murthy V. Devarakonda, John M. Prager, Jennifer J. Liang, 2017, CRI.

Annotating Electronic Medical Records for Question Answering pdf

Siddharth Patwardhan, Murthy V. Devarakonda, Preethi Raghavan, 2018, ArXiv.

emrQA: A Large Corpus for Question Answering on Electronic Medical Records pdf

Jian Peng, Preethi Raghavan, Jennifer J. Liang, 2018, EMNLP.

KAAPA: Knowledge Aware Answers from PDF Analysis

David Konopnicki, Avirup Sil, Mustafa Canim, 2021, AAAI.

ESTROGEN LEVELS DO NOT RISE WITH TESTOSTERONE TREATMENT FOR TRANSGENDER MEN.

Jennifer J. Liang, J. Safer, Kelly J. Chan, 2018, Endocrine practice : official journal of the American College of Endocrinology and the American Association of Clinical Endocrinologists.

Towards Generalizable Methods for Automating Risk Score Calculation

Jennifer J. Liang, Eric P. Lehman, Diwakar Mahajan, 2022, BIONLP.

Extracting Medication Changes in Clinical Narratives using Pre-trained Language Models

Jennifer J. Liang, Özlem Uzuner, Meliha Yetisgen-Yildiz, 2022, ArXiv.

EXOGENOUS TESTOSTERONE DOES NOT INDUCE OR EXACERBATE THE METABOLIC FEATURES ASSOCIATED WITH PCOS AMONG TRANSGENDER MEN.

Jennifer J. Liang, J. Safer, Kelly J. Chan, 2018, Endocrine practice : official journal of the American College of Endocrinology and the American Association of Clinical Endocrinologists.

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

Jennifer J. Liang, J. Prager, Bharath Dandala, 2021, AMIA.

Overview of the Molecular Steps in Steroidogenesis of the GABAergic Neurosteroids Allopregnanolone and Pregnanolone

Jennifer J. Liang, A. Rasmusson, 2018, Chronic stress.

OBSERVED DEFICIENCIES IN MEDICAL STUDENT KNOWLEDGE OF TRANSGENDER AND INTERSEX HEALTH.

Jennifer J. Liang, J. Safer, Ivy H. Gardner, 2017, Endocrine practice : official journal of the American College of Endocrinology and the American Association of Clinical Endocrinologists.

Neuroactive steroids and PTSD treatment

Jennifer J. Liang, A. Rasmusson, Y. Nillni, 2017, Neuroscience Letters.

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

Diwakar Mahajan, Jennifer J. Liang, Ching-Huei Tsou, 2021, BIONLP.

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

Jennifer J. Liang, Ching-Huei Tsou, Parthasarathy Suryanarayanan, 2020, JMIR medical informatics.

TESTOSTERONE LEVELS ACHIEVED BY MEDICALLY TREATED TRANSGENDER WOMEN IN A UNITED STATES ENDOCRINOLOGY CLINIC COHORT.

Jennifer J. Liang, J. Safer, Kelly J. Chan, 2017, Endocrine practice : official journal of the American College of Endocrinology and the American Association of Clinical Endocrinologists.

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

Jennifer J. Liang, Ching-Huei Tsou, Diwakar Mahajan, 2020, AMIA.

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, Jennifer J. Liang, Ching-Huei Tsou, 2020, JMIR medical informatics.

emrKBQA: A Clinical Knowledge-Base Question Answering Dataset

Peter Szolovits, Preethi Raghavan, Diwakar Mahajan, 2021, BIONLP.

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)

Jennifer J. Liang, Bharath Dandala, Parthasarathy Suryanarayanan, 2020 .

Toward Understanding Clinical Context of Medication Change Events in Clinical Narratives

Jennifer J. Liang, Ching-Huei Tsou, Diwakar Mahajan, 2020, AMIA.

Overview of the 2022 n2c2 shared task on Contextualized Medication event extraction in clinical notes.

Jennifer J. Liang, Ching-Huei Tsou, Diwakar Mahajan, 2023, Journal of Biomedical Informatics.

Discovering Key Topics From Short, Real-World Medical Inquiries via Natural Language Processing pdf

Xin Ma, Jennifer J. Liang, Angelo Ziletti, 2020, Frontiers in Computer Science.

A Novel System for Extractive Clinical Note Summarization using EHR Data

Jennifer J. Liang, Ching-Huei Tsou, Ananya Poddar, 2019, Proceedings of the 2nd Clinical Natural Language Processing Workshop.

Automated problem list generation and physicians perspective from a pilot study

Jennifer J. Liang, A. Nowacki, N. Mehta, 2017, Int. J. Medical Informatics.

Extracting Medication Changes in Clinical Narratives using Pre-trained Language Models

Jennifer J. Liang, Özlem Uzuner, Meliha Yetisgen-Yildiz, 2022, J. Biomed. Informatics.

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

Jennifer J. Liang, M. Devarakonda, Ching-Huei Tsou, 2017, CRI.

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

Jennifer J. Liang, J. Prager, Parthasarathy Suryanarayanan, 2020, JMIR medical informatics.