3 papers
cs.CL2024
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…
cs.LG2024
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…
cs.CL2024
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…