8 papers
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…
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Research profiles highlight scientists' research focus, enabling talent discovery and collaborations, but are often outdated.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…
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…
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…