Lillian Sung

16 papers Misc 2Journal 14
YearRankTypeTitle / Venue / Authors
2026 J jnl
Tokenization Tradeoffs in Structured EHR Foundation Models.
CoRR
Lin Lawrence Guo, Santiago Eduardo Arciniegas, Joseph Jihyung Lee, Adam Paul Yan, George Tomlinson, Jason Alan Fries, Lillian Sung
2025 J jnl
A roadmap to implementing machine learning in healthcare: from concept to practice.
Frontiers Digit. Health
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
2025 J jnl
Approaches to identify scenarios for data science implementations within healthcare settings: recommendations based on experiences at multiple academic institutions.
Frontiers Digit. Health
Lillian Sung, Michael Brudno, Michael C. W. Caesar, Amol A. Verma, Brad Buchsbaum, Ravi Retnakaran, Vasily Giannakeas, Azadeh Kushki, Gary D. Bader, Helen Lasthiotakis, Muhammad Mamdani, Lisa Strug
2025 J jnl
Understanding challenges to the interpretation of disaggregated evaluations of algorithmic fairness.
CoRR
Stephen R. Pfohl, Natalie Harris, Chirag Nagpal, David Madras, Vishwali Mhasawade, Olawale Salaudeen, Awa Dieng, Shannon Sequeira, Santiago Eduardo Arciniegas, Lillian Sung, Nnamdi Ezeanochie, Heather Cole-Lewis, Katherine A. Heller, Sanmi Koyejo, Alexander D'Amour
2024 J jnl
A multi-center study on the adaptability of a shared foundation model for electronic health records.
npj Digit. Medicine
Lin Lawrence Guo, Jason Alan Fries, Ethan Steinberg, Scott Lanyon Fleming, Keith E. Morse, Catherine Aftandilian, José D. Posada, Nigam Shah, Lillian Sung
2024 J jnl
Characterizing the limitations of using diagnosis codes in the context of machine learning for healthcare.
BMC Medical Informatics Decis. Mak.
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
2023 J jnl
A Multi-Center Study on the Adaptability of a Shared Foundation Model for Electronic Health Records.
CoRR
Lin Lawrence Guo, Jason A. Fries, Ethan Steinberg, Scott Lanyon Fleming, Keith E. Morse, Catherine Aftandilian, José D. Posada, Nigam Shah, Lillian Sung
2023 J jnl
Self-supervised machine learning using adult inpatient data produces effective models for pediatric clinical prediction tasks.
J. Am. Medical Informatics Assoc.
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
2022 J jnl
Machine learning approaches to investigate
Int. J. Medical Informatics
Yujie Chen, Min Xi, Alistair E. W. Johnson, George Tomlinson, Aaron Campigotto, Lingxiao Chen, Lillian Sung
2022 Misc conf
Real-World Data at the Point-of-Care: Exploring Education Needs Across All Stakeholders.
AMIA
Julian Genkins, Dev Dash, Lillian Sung, Saurabh Gombar, Alison Callahan
2021 Misc conf
A Retrospective Analysis of Machine Learning Driven Antibiotic Selection in the Emergency Department.
AMIA
Conor K. Corbin, Arhana Chattopadhyah, Lillian Sung, Amy Chang, Stan Deresinski, Jonathan H. Chen
2021 J jnl
Data Quality of Chemotherapy-Induced Nausea and Vomiting Documentation.
Appl. Clin. Inform.
Melissa Beauchemin, Chunhua Weng, Lillian Sung, Adrienne Pichon, Maura Abbott, Dawn L. Hershman, Rebecca Schnall
2021 J jnl
Integrating Flowsheet Data in OMOP Common Data Model for Clinical Research.
CoRR
Tina Seto, Lillian Sung, José D. Posada, Priyamvada Desai, Susan Weber, Somalee Datta
2021 J jnl
Systematic Review of Approaches to Preserve Machine Learning Performance in the Presence of Temporal Dataset Shift in Clinical Medicine.
Appl. Clin. Inform.
Lin Lawrence Guo, Stephen R. Pfohl, Jason Alan Fries, José D. Posada, Scott L. Fleming, Catherine Aftandilian, Nigam Shah, Lillian Sung
2019 J jnl
Clinical decision support for therapeutic decision-making in cancer: A systematic review.
Int. J. Medical Informatics
Melissa Beauchemin, Meghan T. Murray, Lillian Sung, Dawn L. Hershman, Chunhua Weng, Rebecca Schnall
2019 J jnl
Initial development of Supportive care Assessment, Prioritization and Recommendations for Kids (SPARK), a symptom screening and management application.
BMC Medical Informatics Decis. Mak.
Sadie Cook, Emily Vettese, Dilip Soman, Shannon Hyslop, Susan Kuczynski, Brenda Spiegler, Hailey Davis, Nathan Duong, Stacee Ou Wai, Robert Golabek, Patryk Golabek, Adam Antoszek-Rallo, Tal Schechter, L. Lee Dupuis, Lillian Sung