Document Type
Presentation
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Publication Date
10-4-2022
Abstract
Public health researchers face significant challenges when it comes to sharing their data with other researchers and leveraging it in classroom settings. Using artificial intelligence (AI), it is possible to generate synthetic datasets that maintain the statistical accuracy and granularity of the original data without compromising patient privacy. Synthetic data also enables researchers to address bias by generating the exact patients needed to answer research questions.
Recommended Citation
Prince, MBA, Carter and Oglesby, PhD, MBA, MSPH, FACHE, Willie H., "Democratizing Public Health Research with Synthetic Data" (2022). Population Health Leadership Series: PopTalk Webinars. Paper 44.
https://jdc.jefferson.edu/phlspoptalk/44
Language
English
Comments
Presentation: 55:42
Presenters:
Carter Prince, MBA
Head of Growth
Syntegra
Billy Oglesby, PhD
Dean Jefferson College of Population Health
Thomas Jefferson University