Lin Lawrence Guo

According to our database, Lin Lawrence Guo authored at least 8 papers between 2021 and 2026.

Collaborative distances:

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

2026

Tokenization Tradeoffs in Structured EHR Foundation Models.

Lin Lawrence Guo, Santiago Eduardo Arciniegas, Joseph Jihyung Lee, Adam Paul Yan, George Tomlinson, Jason Alan Fries, Lillian Sung

CoRR, March, 2026

Leveraging clinical epidemiology concepts to strengthen machine learning fairness evaluations.

Lin Lawrence Guo, Santiago Eduardo Arciniegas, Adam Paul Yan, George Tomlinson, Melissa Beauchemin, Stephen R. Pfohl, Lillian Sung

J. Am. Medical Informatics Assoc., 2026

Systematic review of foundation models for structured electronic health records.

Lin Lawrence Guo, Santiago Eduardo Arciniegas, Adam Paul Yan, Jason Alan Fries, George Tomlinson, Lillian Sung

J. Am. Medical Informatics Assoc., 2026

2025

A roadmap to implementing machine learning in healthcare: from concept to practice.

Adam Paul Yan, Lin Lawrence Guo, Jiro Inoue, Santiago Eduardo Arciniegas, Emily Vettese, Agata Wolochacz, Nicole Crellin-Parsons, Brandon Purves, Steven Wallace, Azaz Patel, Medhat Roshdi, Karim Jessa, Bren Cardiff, Lillian Sung

Frontiers Digit. Health, 2025

2024

Characterizing the limitations of using diagnosis codes in the context of machine learning for healthcare.

Lin Lawrence Guo, Keith E. Morse, Catherine Aftandilian, Ethan Steinberg, Jason Alan Fries, José D. Posada, Scott Lanyon Fleming, Joshua Lemmon, Karim Jessa, Nigam Shah, Lillian Sung

BMC Medical Informatics Decis. Mak., December, 2024

A multi-center study on the adaptability of a shared foundation model for electronic health records.

Lin Lawrence Guo, Jason Alan Fries, Ethan Steinberg, Scott Lanyon Fleming, Keith E. Morse, Catherine Aftandilian, José D. Posada, Nigam Shah, Lillian Sung

npj Digit. Medicine, 2024

2023

Self-supervised machine learning using adult inpatient data produces effective models for pediatric clinical prediction tasks.

Joshua Lemmon, Lin Lawrence Guo, Ethan Steinberg, Keith E. Morse, Scott Lanyon Fleming, Catherine Aftandilian, Stephen R. Pfohl, José D. Posada, Nigam Shah, Jason Alan Fries, Lillian Sung

J. Am. Medical Informatics Assoc., November, 2023

2021

Systematic Review of Approaches to Preserve Machine Learning Performance in the Presence of Temporal Dataset Shift in Clinical Medicine.

Lin Lawrence Guo, Stephen R. Pfohl, Jason Alan Fries, José D. Posada, Scott L. Fleming, Catherine Aftandilian, Nigam Shah, Lillian Sung

Appl. Clin. Inform., 2021