1 citations · 2 across the 8 of their papers we have counts for
9 papers
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…
CPGPrompt: Translating Clinical Guidelines into LLM-Executable Decision Support
Ruiqi Deng, Geoffrey Martin, Tony Wang +6
Clinical practice guidelines (CPGs) provide evidence-based recommendations for patient care; however, integrating them into Artificial Intelligence (AI) remains challenging. Previo…
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Research profiles highlight scientists' research focus, enabling talent discovery and collaborations, but are often outdated.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…
Machine Learning Applications Related to Suicide in Military and Veterans: A Scoping Literature Review
Yuhan Zhang, Yishu Wei, Yanshan Wang +10
Suicide remains one of the main preventable causes of death among active service members and veterans. Early detection and prediction are crucial in suicide prevention. Machine lea…
WatchGuardian: Enabling User-Defined Personalized Just-in-Time Intervention on Smartwatch
Ying Lei, Yancheng Cao, Will Wang +13
While just-in-time interventions (JITIs) have effectively targeted common health behaviors, individuals often have unique needs to intervene in personal undesirable actions that ca…
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…