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Machine Learning in Distributed Data Networks like the FDA Sentinel System: Opportunities, Challenges, and Considerations

    Event Information
    Friday, December 16, 2022
    12:30pm - 1:30pm EST
    Event Type
    Event Location

    Access to larger amounts and more complex types of electronic health data in distributed data networks like the FDA Sentinel System has created a growing interest in the use of data-adaptive machine learning techniques to enhance their activities. However, the siloed storage and diverse nature of the databases in distributed data networks create unique challenges. This presentation discusses various opportunities for machine learning in distributed data networks like the FDA Sentinel System that conduct activities in pharmacoepidemiology and pharmacovigilance and presents unique challenges and considerations they face when applying such methods.

    Event Materials

    View a recording of the webinar here.

    View the presentation of the webinar here.


    Jenna Wong, PhD, MSc