Lillian Sung

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 12

Top Topics

Systematic Review

Decision Support

Machine Learning

Top Venues

BMC Medical Informatics Decis. Mak.

Int. J. Medical Informatics

Appl. Clin. Inform.

Publications

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
Characterizing the limitations of using diagnosis codes in the context of machine learning for healthcare. BMC Medical Informatics Decis. Mak. 24 (1) (2024)
Lin Lawrence Guo, Jason Alan Fries, Ethan Steinberg, Scott Lanyon Fleming, Keith E. Morse, Catherine Aftandilian, José D. Posada, Nigam Shah, Lillian Sung
A multi-center study on the adaptability of a shared foundation model for electronic health records. npj Digit. Medicine 7 (1) (2024)
Joshua Lemmon, Lin Lawrence Guo, Ethan Steinberg, Keith E. Morse, Scott Lanyon Fleming, Catherine Aftandilian, Stephen R. Pfohl, Jose D. Posada, Nigam Shah, Jason Alan Fries, Lillian Sung
Self-supervised machine learning using adult inpatient data produces effective models for pediatric clinical prediction tasks. J. Am. Medical Informatics Assoc. 30 (12) (2023)
Lin Lawrence Guo, Jason A. Fries, Ethan Steinberg, Scott Lanyon Fleming, Keith E. Morse, Catherine Aftandilian, José D. Posada, Nigam Shah, Lillian Sung
A Multi-Center Study on the Adaptability of a Shared Foundation Model for Electronic Health Records. CoRR (2023)
Yujie Chen, Min Xi, Alistair Johnson, George Tomlinson, Aaron Campigotto, Lingxiao Chen, Lillian Sung
infection and outcomes: A systematic review. Int. J. Medical Informatics 160 (2022)
Julian Genkins, Dev Dash, Lillian Sung, Saurabh Gombar, Alison Callahan
Real-World Data at the Point-of-Care: Exploring Education Needs Across All Stakeholders. AMIA (2022)
Tina Seto, Lillian Sung, José D. Posada, Priyamvada Desai, Susan Weber, Somalee Datta
Integrating Flowsheet Data in OMOP Common Data Model for Clinical Research. CoRR (2021)
Conor K. Corbin, Arhana Chattopadhyah, Lillian Sung, Amy Chang, Stan Deresinski, Jonathan H. Chen
A Retrospective Analysis of Machine Learning Driven Antibiotic Selection in the Emergency Department. AMIA (2021)
Melissa Beauchemin, Chunhua Weng, Lillian Sung, Adrienne Pichon, Maura Abbott, Dawn L. Hershman, Rebecca Schnall
Data Quality of Chemotherapy-Induced Nausea and Vomiting Documentation. Appl. Clin. Inform. 12 (02) (2021)
Lin Lawrence Guo, Stephen R. Pfohl, Jason Alan Fries, José D. Posada, Scott L. Fleming, Catherine Aftandilian, Nigam Shah, Lillian Sung
Systematic Review of Approaches to Preserve Machine Learning Performance in the Presence of Temporal Dataset Shift in Clinical Medicine. Appl. Clin. Inform. 12 (4) (2021)
Melissa Beauchemin, Meghan T. Murray, Lillian Sung, Dawn L. Hershman, Chunhua Weng, Rebecca Schnall
Clinical decision support for therapeutic decision-making in cancer: A systematic review. Int. J. Medical Informatics 130 (2019)
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
Initial development of Supportive care Assessment, Prioritization and Recommendations for Kids (SPARK), a symptom screening and management application. BMC Medical Informatics Decis. Mak. 19 (1) (2019)