Ozlem Uzuner

Associate Professor

George Mason University

United States

Research Interests

Explore related searches

Professors in United States

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

About

Dr. Ozlem Uzuner is an Associate Professor at George Mason University in the United States. Her research focuses on natural language processing applications in healthcare, particularly in addressing medically inaccurate information and enhancing data extraction from clinical narratives. She has recently published articles on topics including large language models for biomedicine, social determinants of health, and clinical concept annotations.

Articles (15)

Year:

2025

Year:

2024

Year:

2024

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2022

Year:

2021

Year:

2021

Year:

2020

Year:

2020

Collaborators (4)

Satya Sahoo

Associate Professor

Case Western Reserve University

UNITED STATES

View details

Yanshan Wang

Assistant Professor and Vice Chair of Research

University of Pittsburgh

UNITED STATES

View details

Timothy Miller

Associate Professor

Boston Children's Hospital

UNITED STATES

View details

Kevin Lybarger

Assistant Professor

George Mason University

UNITED STATES

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Ozlem Uzuner

Research Interests

Explore related searches

Contact this professor

About

Articles (15)

A scoping review of natural language processing in addressing medically inaccurate information: Errors, misinformation, and hallucination

Large language models for biomedicine: foundations, opportunities, challenges, and best practices

CACER: Clinical concept Annotations for Cancer Events and Relations

Leveraging natural language processing to augment structured social determinants of health data in the electronic health record

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

The 2022 n2c2/UW shared task on extracting social determinants of health

LeafAI: query generator for clinical cohort discovery rivaling a human programmer

Overview of the 2022 n2c2 shared task on contextualized medication event extraction in clinical notes

Advancements in extracting social determinants of health information from narrative text

Progress Note Understanding — Assessment and Plan Reasoning: Overview of the 2022 N2C2 Track 3 shared task

A scoping review of publicly available language tasks in clinical natural language processing

Family history extraction from synthetic clinical narratives using natural language processing: Overview and evaluation of a challenge data set and solutions for the 2019 national NLP clinical challenges (n2c2)/open health natural language processing (OHNLP) competition

MT-clinical BERT: scaling clinical information extraction with multitask learning

The 2019 n2c2/OHNLP Track on Clinical Semantic Textual Similarity: Overview

The 2019 n2c2/UMass Lowell shared task on clinical concept normalization

Collaborators (4)

Satya Sahoo

Yanshan Wang

Timothy Miller

Kevin Lybarger

Make your next move.