4 citations · 4 across the 4 of their papers we have counts for
4 papers
CRAFT: LLM-Based Iterative Refinement for Temporal Reasoning over Clinical Narratives
Chengyang He, Tahreem Arif, Marko Zivkovic +3
Understanding the temporal progression of symptoms in clinical narratives is critical for disease monitoring, safety surveillance, and causality assessment. Clinical narratives, ho…
Task as Context Prompting for Accurate Medical Symptom Coding Using Large Language Models
Chengyang He, Wenlong Zhang, Violet Xinying Chen +2
Accurate medical symptom coding from unstructured clinical text, such as vaccine safety reports, is a critical task with applications in pharmacovigilance and safety monitoring. Sy…
Understanding Student Sentiment on Mental Health Support in Colleges Using Large Language Models
Palak Sood, Chengyang He, Divyanshu Gupta +2
Mental health support in colleges is vital in educating students by offering counseling services and organizing supportive events. However, evaluating its effectiveness faces chall…
Towards Semi-Structured Automatic ICD Coding via Tree-based Contrastive Learning
Chang Lu, Chandan K. Reddy, Ping Wang +1
Automatic coding of International Classification of Diseases (ICD) is a multi-label text categorization task that involves extracting disease or procedure codes from clinical notes…