10 citations · 12 across the 5 of their papers we have counts for
6 papers
Forecasting Patient Trajectories from the Electronic Health Records with Action-Conditioned World Models
Simon A. Lee, Jiahang Hank Sha, Soomin Chung +3
We introduce a predictive world model for electronic health records (EHR) that represents patient histories as action conditioned latent trajectories. Rather than modeling clinical…
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…
FEET: A Framework for Evaluating Embedding Techniques
Simon A. Lee, John Lee, Jeffrey N. Chiang
In this study, we introduce FEET, a standardized protocol designed to guide the development and benchmarking of foundation models. While numerous benchmark datasets exist for evalu…
TFT-multi: simultaneous forecasting of vital sign trajectories in the ICU
Rosemary Y. He, Jeffrey N. Chiang
Trajectory forecasting in healthcare data has been an important area of research in precision care and clinical integration for computational methods. In recent years, generative A…
Enhancing Antibiotic Stewardship using a Natural Language Approach for Better Feature Representation
Simon A. Lee, Trevor Brokowski, Jeffrey N. Chiang
The rapid emergence of antibiotic-resistant bacteria is recognized as a global healthcare crisis, undermining the efficacy of life-saving antibiotics. This crisis is driven by the…
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…