output
20122025
most citedA Multifaceted Benchmarking of Synthetic Electronic Health Record Generation Models

98 citations

13 papers

cs.CL2025★ 13 cited

A Scoping Review of Natural Language Processing in Addressing Medically Inaccurate Information: Errors, Misinformation, and Hallucination

Zhaoyi Sun, Wen-Wai Yim, Ozlem Uzuner +2

Objective: This review aims to explore the potential and challenges of using Natural Language Processing (NLP) to detect, correct, and mitigate medically inaccurate information, in…

cs.CL2024★ 3 cited

CACER: Clinical Concept Annotations for Cancer Events and Relations

Yujuan Fu, Giridhar Kaushik Ramachandran, Ahmad Halwani +5

Clinical notes contain unstructured representations of patient histories, including the relationships between medical problems and prescription drugs. To investigate the relationsh…

cs.CL2023

Deep Representations of First-person Pronouns for Prediction of Depression Symptom Severity

Xinyang Ren, Hannah A Burkhardt, Patricia A Areán +2

Prior work has shown that analyzing the use of first-person singular pronouns can provide insight into individuals' mental status, especially depression symptom severity. These fin…

cs.CL2023★ 10 cited

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

Nicholas J Dobbins, Bin Han, Weipeng Zhou +5

Objective: Identifying study-eligible patients within clinical databases is a critical step in clinical research. However, accurate query design typically requires extensive techni…

cs.CL2023★ 48 cited

The 2022 n2c2/UW Shared Task on Extracting Social Determinants of Health

Kevin Lybarger, Meliha Yetisgen, Özlem Uzuner

Objective: The n2c2/UW SDOH Challenge explores the extraction of social determinant of health (SDOH) information from clinical notes. The objectives include the advancement of natu…

cs.LG2022★ 98 cited

A Multifaceted Benchmarking of Synthetic Electronic Health Record Generation Models

Chao Yan, Yao Yan, Zhiyu Wan +5

Synthetic health data have the potential to mitigate privacy concerns when sharing data to support biomedical research and the development of innovative healthcare applications. Mo…

cs.CL2022★ 18 cited

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

Giridhar Kaushik Ramachandran, Kevin Lybarger, Yaya Liu +5

An accurate and detailed account of patient medications, including medication changes within the patient timeline, is essential for healthcare providers to provide appropriate pati…

cs.CL2022★ 13 cited

The Leaf Clinical Trials Corpus: a new resource for query generation from clinical trial eligibility criteria

Nicholas J Dobbins, Tony Mullen, Ozlem Uzuner +1

Identifying cohorts of patients based on eligibility criteria such as medical conditions, procedures, and medication use is critical to recruitment for clinical trials. Such criter…

physics.med-ph2014★ 3 cited

Monte Carlo validation of optimal material discrimination using spectral x-ray imaging

Syen J. Nik, Rune S. Thing, Richard Watts +3

The validation of a previous work on the optimization of material discrimination in spectral x-ray imaging is reported. Using Monte Carlo simulations based on the BEAMnrc package,…

stat.AP2013★ 13 cited

Latent demographic profile estimation in hard-to-reach groups

Tyler H. McCormick, Tian Zheng

The sampling frame in most social science surveys excludes members of certain groups, known as hard-to-reach groups. These groups, or subpopulations, may be difficult to access (th…

physics.med-ph2012★ 4 cited

Application of a spring-dashpot system to clinical lung tumor motion data

E. J. Ackerley, A. E. Cavan, P. L. Wilson +2

A spring-dashpot system based on the Voigt model was developed to model the correlation between abdominal respiratory motion and tumor motion during lung radiotherapy. The model wa…

physics.med-ph2012

When is Better Best? A multiobjective perspective

Mark Phillips, Clay Holdsworth

Purpose: To identify the most informative methods for reporting results of treatment planning comparisons. Methods: Seven papers from the past year of International Journal of Radi…

physics.med-ph2012★ 44 cited

A Hierachical Evolutionary Algorithm for Multiobjective Optimization in IMRT

Clay Holdsworth, Minsun Kim, Jay Liao +1

Purpose: Current inverse planning methods for IMRT are limited because they are not designed to explore the trade-offs between the competing objectives between the tumor and normal…