MJFF Data Community Webinar: Digital Phenotyping with PDkit - Open Source Software for Analysis of Wearables and Mobile App Data
Description
In this webinar, Dr. George Roussos (Birkbeck College, University of London) gives an overview of PDkit, a Python-based open source data science toolkit to support data-driven systems using smartphones and wearables. Developed by Dr. Roussos’ team and supported by the Michael J. Fox Foundation, PDkit leverages wearables and mobile app data to support longitudinal investigations of disease mechanisms and progression. PDkit serves as an open source and scalable toolkit for high-frequency assessment of PD symptoms. To learn more about PDkit, you can also read Dr Roussos' post on our community platform.
This webinar was organized by the the Michael J. Fox Foundation's Data Community of Practice (DCoP). Do you have ideas or suggestions for other webinar topics you would like to see? Is there a tool you feel the community would benefit from highlighting? Let us know by leaving your thoughts in this thread: Seeking Webinar Ideas and Requests from the Community, or by contacting researchcommunity@michaeljfox.org. For those interested in joining or contributing to the DCoP, please visit rcop.michaeljfox.org.
Files
MJFF Data Community Webinar - PDkit.mp4
Files
(445.4 MB)
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