1 citations · 1 across the 7 of their papers we have counts for
6 papers · 1 filter
LLM assisted writing deserves empirical evaluation
Xuan Zhong Feng, Yi Lin, Yiye Zhang +2
LLM-assisted writing is often treated as a detection problem, as it raises questions about clarity, integrity, equity, and evaluation. An analysis of 69,209 Health Informatics pape…
Extracting Post-Acute Sequelae of SARS-CoV-2 Infection Symptoms from Clinical Notes via Hybrid Natural Language Processing
Zilong Bai, Zihan Xu, Cong Sun +13
Accurately and efficiently diagnosing Post-Acute Sequelae of COVID-19 (PASC) remains challenging due to its myriad symptoms that evolve over long- and variable-time intervals. To a…
A Multi-Stage Large Language Model Framework for Extracting Suicide-Related Social Determinants of Health
Song Wang, Yishu Wei, Haotian Ma +10
Background: Understanding social determinants of health (SDoH) factors contributing to suicide incidents is crucial for early intervention and prevention. However, data-driven appr…
Scalable Scientific Interest Profiling Using Large Language Models
Yilun Liang, Gongbo Zhang, Edward Sun +6
Research profiles highlight scientists' research focus, enabling talent discovery and collaborations, but are often outdated. Automated, scalable methods are urgently needed to kee…
Natural Language Processing in Support of Evidence-based Medicine: A Scoping Review
Zihan Xu, Haotian Ma, Gongbo Zhang +3
Evidence-based medicine (EBM) is at the forefront of modern healthcare, emphasizing the use of the best available scientific evidence to guide clinical decisions. Due to the sheer…
DIRI: Adversarial Patient Reidentification with Large Language Models for Evaluating Clinical Text Anonymization
John X. Morris, Thomas R. Campion, Sri Laasya Nutheti +4
Sharing protected health information (PHI) is critical for furthering biomedical research. Before data can be distributed, practitioners often perform deidentification to remove an…