8 citations · 13 across the 6 of their papers we have counts for
7 papers
Knowledge Elicitation with Large Language Models for Interpretable Cancer Stage Identification from Pathology Reports
Yeawon Lee, Christopher C. Yang, Chia-Hsuan Chang +1
Cancer staging is critical for patient prognosis and treatment planning, yet extracting pathologic TNM staging from unstructured pathology reports poses a persistent challenge. Exi…
Collaboration among Multiple Large Language Models for Medical Question Answering
Kexin Shang, Chia-Hsuan Chang, Christopher C. Yang
Empowered by vast internal knowledge reservoir, the new generation of large language models (LLMs) demonstrate untapped potential to tackle medical tasks. However, there is insuffi…
Beyond Self-Consistency: Ensemble Reasoning Boosts Consistency and Accuracy of LLMs in Cancer Staging
Chia-Hsuan Chang, Mary M. Lucas, Yeawon Lee +2
Advances in large language models (LLMs) have encouraged their adoption in the healthcare domain where vital clinical information is often contained in unstructured notes. Cancer s…
Explainable AI for Fair Sepsis Mortality Predictive Model
Chia-Hsuan Chang, Xiaoyang Wang, Christopher C. Yang
Artificial intelligence supports healthcare professionals with predictive modeling, greatly transforming clinical decision-making. This study addresses the crucial need for fairnes…
An ExplainableFair Framework for Prediction of Substance Use Disorder Treatment Completion
Mary M. Lucas, Xiaoyang Wang, Chia-Hsuan Chang +3
Fairness of machine learning models in healthcare has drawn increasing attention from clinicians, researchers, and even at the highest level of government. On the other hand, the i…
Classifying Cancer Stage with Open-Source Clinical Large Language Models
Chia-Hsuan Chang, Mary M. Lucas, Grace Lu-Yao +1
Cancer stage classification is important for making treatment and care management plans for oncology patients. Information on staging is often included in unstructured form in clin…
Constructing Cross-lingual Consumer Health Vocabulary with Word-Embedding from Comparable User Generated Content
Chia-Hsuan Chang, Lei Wang, Christopher C. Yang
The online health community (OHC) is the primary channel for laypeople to share health information. To analyze the health consumer-generated content (HCGC) from the OHCs, identifyi…