1 citations · 2 across the 4 of their papers we have counts for
4 papers
EHRBench: An Automated and Reliable EHR-based Benchmark for Clinical Decision Making with LLMs
Yuzhang Xie, Keqi Han, Yunpeng Xiao +7
Clinical decision-making (CDM) is central to real-world clinical workflows, where clinicians infer diagnoses, select treatments, or anticipate future health outcomes under incomple…
Beyond MedQA: Towards Real-world Clinical Decision Making in the Era of LLMs
Yunpeng Xiao, Carl Yang, Mark Mai +2
Large language models (LLMs) show promise for clinical use. They are often evaluated using datasets such as MedQA. However, Many medical datasets, such as MedQA, rely on simplified…
From Basic to Extra Features: Hypergraph Transformer Pretrain-then-Finetuning for Balanced Clinical Predictions on EHR
Ran Xu, Yiwen Lu, Chang Liu +5
Electronic Health Records (EHRs) contain rich patient information and are crucial for clinical research and practice. In recent years, deep learning models have been applied to EHR…
Evaluation of General Large Language Models in Contextually Assessing Semantic Concepts Extracted from Adult Critical Care Electronic Health Record Notes
Darren Liu, Cheng Ding, Delgersuren Bold +16
The field of healthcare has increasingly turned its focus towards Large Language Models (LLMs) due to their remarkable performance. However, their performance in actual clinical ap…