Lillian Sung

Orcid: 0000-0003-0951-3091

According to our database1, Lillian Sung authored at least 11 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Characterizing the limitations of using diagnosis codes in the context of machine learning for healthcare.
BMC Medical Informatics Decis. Mak., December, 2024

A multi-center study on the adaptability of a shared foundation model for electronic health records.
npj Digit. Medicine, 2024

2023
Self-supervised machine learning using adult inpatient data produces effective models for pediatric clinical prediction tasks.
J. Am. Medical Informatics Assoc., November, 2023

2022
Machine learning approaches to investigate <i>Clostridioides difficile</i> infection and outcomes: A systematic review.
Int. J. Medical Informatics, 2022

Real-World Data at the Point-of-Care: Exploring Education Needs Across All Stakeholders.
Proceedings of the AMIA 2022, 2022

2021
Integrating Flowsheet Data in OMOP Common Data Model for Clinical Research.
CoRR, 2021

Systematic Review of Approaches to Preserve Machine Learning Performance in the Presence of Temporal Dataset Shift in Clinical Medicine.
Appl. Clin. Inform., 2021

Data Quality of Chemotherapy-Induced Nausea and Vomiting Documentation.
Appl. Clin. Inform., 2021

A Retrospective Analysis of Machine Learning Driven Antibiotic Selection in the Emergency Department.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

2019
Initial development of Supportive care Assessment, Prioritization and Recommendations for Kids (SPARK), a symptom screening and management application.
BMC Medical Informatics Decis. Mak., 2019

Clinical decision support for therapeutic decision-making in cancer: A systematic review.
Int. J. Medical Informatics, 2019


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