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Email

gerardo.dimaguila@unimelb.edu.au

Credentials


Position
Honorary (Senior Fellow)
Department of Paediatrics
Education
Bachelors Degree
Ateneo de Zamboanga University
Masters (Coursework & Research)
The University of Melbourne
PhD
The University of Melbourne

Mr Gerardo Luis Dimaguila

Honorary (Senior Fellow)
Department of Paediatrics

19 Scholarly works
0 Projects

HIGHLIGHTS

  • 2025

    Journal article

    A survey of large language model use in a hospital, research, and teaching campus
    DOI: 10.1017/dap.2025.10044
  • 2025

    Conference Proceedings

    Enhancing Vaccine Safety Surveillance: Extracting Vaccine Mentions from Emergency Department Triage Notes Using Fine-Tuned Large Language Models
    DOI: 10.3233/SHTI251023
  • 2025

    Conference Proceedings

    VaxPulse: Monitoring of Online Public Concerns to Enhance Post-Licensure Vaccine Surveillance
    DOI: 10.3233/SHTI250936
  • 2025

    Conference Proceedings

    VaxPulse: Active Global Vaccine Infodemic Risk Assessment
    DOI: 10.3233/SHTI251026
  • 2024

    Journal article

    Establishing the Vaccine Safety Health Link: A large, linked data resource for the investigation of vaccine safety concerns
    DOI: 10.1016/j.anzjph.2024.100188
  • 2024

    Conference Proceedings

    Exploring Large Language Models for Detecting Online Vaccine Reactions
    DOI: 10.3233/SHTI240887
  • 2024

    Journal article

    Exploring the Infectious Contribution to Intussusception Causality Using the Effects of COVID-19 Lockdowns in Australia: An Ecological Study
    DOI: 10.1093/cid/ciae084
Gerardo Luis Dimaguila

Latest Honours,
Awards and Fellowships


2022
FAIDH - Fellow of Australasian Institute of Digital Health

RECENT SCHOLARLY WORKS

  • 2024

    Book Chapter

    Fertility-Related Conversations in the Context of COVID-19 and Vaccinations
    DOI: 10.3233/SHTI231044
  • 2024

    Conference Proceedings

    Detecting Asthma Presentations from Emergency Department Notes: An Active Learning Approach
    DOI: 10.1007/978-981-99-8696-5_20
  • 2024

    Journal article

    Near Real-Time Syndromic Surveillance of Emergency Department Triage Texts Using Natural Language Processing: Case Study in Febrile Convulsion Detection
    DOI: 10.2196/54449

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