6 papers · 1 filter
RubricsTree: Scalable and Evolving Open-Ended Evaluation of Personal Health Agents across Health Memory and Medical Skills
Weizhi Zhang, Zechen Li, Hamid Palangi +16
The LLM-empowered personal health agents with user health (sensor) metrics have offered a promising pathway to alleviate global disparities in healthcare access. However, large-sca…
A Case Study Exploring the Current Landscape of Synthetic Medical Record Generation with Commercial LLMs
Yihan Lin, Zhirong Bella Yu, Simon Lee
Synthetic Electronic Health Records (EHRs) offer a valuable opportunity to create privacy preserving and harmonized structured data, supporting numerous applications in healthcare.…
Clinical ModernBERT: An efficient and long context encoder for biomedical text
Simon A. Lee, Anthony Wu, Jeffrey N. Chiang
We introduce Clinical ModernBERT, a transformer based encoder pretrained on large scale biomedical literature, clinical notes, and medical ontologies, incorporating PubMed abstract…
Text Serialization and Their Relationship with the Conventional Paradigms of Tabular Machine Learning
Kyoka Ono, Simon A. Lee
Recent research has explored how Language Models (LMs) can be used for feature representation and prediction in tabular machine learning tasks. This involves employing text seriali…
Can Large Language Models abstract Medical Coded Language?
Simon A. Lee, Timothy Lindsey
Large Language Models (LLMs) have become a pivotal research area, potentially making beneficial contributions in fields like healthcare where they can streamline automated billing…
Emergency Department Decision Support using Clinical Pseudo-notes
Simon A. Lee, Sujay Jain, Alex Chen +4
In this work, we introduce the Multiple Embedding Model for EHR (MEME), an approach that serializes multimodal EHR tabular data into text using pseudo-notes, mimicking clinical tex…