Multimodal Clinical Pseudo-notes for Emergency Department Prediction Tasks using Multiple Embedding Model for EHR (MEME). - Simon A. Lee; Sujay Jain; Alex Chen; Arabdha Biswas; Jennifer Fang; Ákos Rudas; Jeffrey N. Chiang (CoRR, 2024)

Do Large Language Models understand Medical Codes? - Simon A. Lee; Timothy Lindsey (CoRR, 2024)

Enhancing Antibiotic Stewardship using a Natural Language Approach for Better Feature Representation. - Simon A. Lee; Trevor J. Brokowski; Jeffrey N. Chiang (CoRR, 2024)

Text Serialization and Their Relationship with the Conventional Paradigms of Tabular Machine Learning. - Kyoka Ono; Simon A. Lee (CoRR, 2024)

FEET: A Framework for Evaluating Embedding Techniques. - Simon A. Lee; John Lee; Jeffrey N. Chiang (CoRR, 2024)

A Case Study Exploring the Current Landscape of Synthetic Medical Record Generation with Commercial LLMs. - Yihan Lin; Zhirong Yu; Simon A. Lee (CHIL, 2025)

Clinical decision support using pseudo-notes from multiple streams of EHR data. - Simon A. Lee; Sujay Jain; Alex Chen; Kyoka Ono; Arabdha Biswas; Ákos Rudas; Jennifer Fang; Jeffrey N. Chiang (npj Digit. Medicine, 2025)

Clinical ModernBERT: An efficient and long context encoder for biomedical text. - Simon A. Lee; Anthony Wu; Jeffrey N. Chiang (CoRR, 2025)

Raptor: Scalable Train-Free Embeddings for 3D Medical Volumes Leveraging Pretrained 2D Foundation Models. - Ulzee An; Moonseong Jeong; Simon A. Lee; Aditya Gorla; Yuzhe Yang; Sriram Sankararaman (CoRR, 2025)