Show simple item record

dc.contributor.authorSchriml, Lynn M.
dc.date.accessioned2024-03-01T14:47:21Z
dc.date.available2024-03-01T14:47:21Z
dc.date.issued2023-03-08
dc.identifier.urihttp://hdl.handle.net/10713/21473
dc.descriptionRegistration flyer for ICTR presentation.en_US
dc.descriptionVideo recording of ICTR presentation.en_US
dc.description.abstractSchriml discusses a data portal project to connect diverse research projects, establishing interoperability without altering existing data structures. Using a unified ontology, the project mapped and linked varied data sets, facilitating seamless data integration.en_US
dc.description.urihttps://www.youtube.com/watch?v=tfuLXgph0IIen_US
dc.language.isoen_USen_US
dc.subject.meshMachine Learningen_US
dc.subject.meshArtificial Intelligenceen_US
dc.subject.meshElectronic Health Recordsen_US
dc.subject.meshData Scienceen_US
dc.titleICTR at Medical Grand Rounds: Innovative Strategies for Navigating ML/AI Ready Digitized Medical Health Dataen_US
dc.typeBrochure/Programen_US
dc.typePoster/Presentationen_US
dc.typeVideoen_US
dc.relation.youtubehttps://www.youtube.com/watch?v=tfuLXgph0IIen_US
refterms.dateFOA2024-03-01T14:47:22Z


Files in this item

Thumbnail
Name:
ICTR-Seminar_Schriml_3-8-23.pdf
Size:
496.6Kb
Format:
PDF

This item appears in the following Collection(s)

Show simple item record