Richard Wyss

According to our database, Richard Wyss authored at least 6 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Scalable confounding adjustment in real-world evidence: benchmarking data-adaptive and investigator-specified strategies in a large-scale trial emulation study.

Andrew Weckstein, Shirley V. Wang, Richard Wyss, Sebastian Schneeweiss

J. Am. Medical Informatics Assoc., 2026

2025

Scalable Medication Extraction and Discontinuation Identification from Electronic Health Records Using Large Language Models.

Chong Shao, Douglas Snyder, Chiran Li, Bowen Gu, Kerry Ngan, Chun-Ting Yang, Jiageng Wu, Richard Wyss, Kueiyu Joshua Lin, Jie Yang

CoRR, June, 2025

BRIDGE: Benchmarking Large Language Models for Understanding Real-world Clinical Practice Text.

Jiageng Wu, Bowen Gu, Ren Zhou, Kevin Xie, Douglas Snyder, Yixing Jiang, Valentina Carducci, Richard Wyss, Rishi J. Desai, Emily Alsentzer, Leo Anthony Celi, Adam Rodman, Sebastian Schneeweiss, Jonathan H. Chen, Santiago Romero-Brufau, Kueiyu Joshua Lin, Jie Yang

CoRR, April, 2025

Natural language processing for scalable feature engineering and ultra-high-dimensional confounding adjustment in healthcare database studies.

Richard Wyss, Jie Yang, Sebastian Schneeweiss, Joseph M. Plasek, Li Zhou, Thomas DeRamus, Janick Weberpals, Kerry Ngan, Theodore N. Tsacogianis, Kueiyu Joshua Lin

J. Biomed. Informatics, 2025

Comparative ranking of marginal confounding impact of natural language processing-derived versus structured features in pharmacoepidemiology.

Joseph M. Plasek, Richard Wyss, Janick Weberpals, Jie Yang, Thomas DeRamus, Theodore N. Tsacogianis, Kerry Ngan, Lily G. Bessette, Kueiyu Joshua Lin, Li Zhou

Comput. Biol. Medicine, 2025

2024

High-dimensional multiple imputation (HDMI) for partially observed confounders including natural language processing-derived auxiliary covariates.

Janick Weberpals, Pamela A. Shaw, Kueiyu Joshua Lin, Richard Wyss, Joseph M. Plasek, Li Zhou, Kerry Ngan, Thomas DeRamus, Sudha R. Raman, Bradley G. Hammill, Hana Lee, Sengwee Toh, John G. Connolly, Kimberly J. Dandreo, Fang Tian, Wei Liu, Jie Li, José J. Hernández-Muñoz, Sebastian Schneeweiss, Rishi J. Desai

CoRR, 2024