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Journal Articles
- 2024
[j8]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): 51 (2024)- [j7]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) - 2023
- [j6]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:
Self-supervised machine learning using adult inpatient data produces effective models for pediatric clinical prediction tasks. J. Am. Medical Informatics Assoc. 30(12): 2004-2011 (2023) - 2022
- [j5]Yujie Chen, Min Xi, Alistair E. W. Johnson, George Tomlinson, Aaron Campigotto, Lingxiao Chen, Lillian Sung:
Machine learning approaches to investigate Clostridioides difficile infection and outcomes: A systematic review. Int. J. Medical Informatics 160: 104706 (2022) - 2021
- [j4]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): 320-328 (2021) - [j3]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): 808-815 (2021) - 2019
- [j2]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) - [j1]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): 9:1-9:11 (2019)
Conference and Workshop Papers
- 2022
- [c2]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 - 2021
- [c1]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
Informal and Other Publications
- 2023
- [i2]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 abs/2311.11483 (2023) - 2021
- [i1]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 abs/2109.08235 (2021)
Coauthor Index
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