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Gestational weight gain prediction using privacy preserving federated learning

 
dc.contributor.authorPuri, Chetanya
dc.contributor.authorDolui, Koustabh
dc.contributor.authorKooijman, Gerben
dc.contributor.authorMasculo, Felipe
dc.contributor.authorVan Sambeek, Shannon
dc.contributor.authorDen Boer, Sebastiaan
dc.contributor.authorMichiels, Sam
dc.contributor.authorHallez, Hans
dc.contributor.authorLuca, Stijn
dc.contributor.authorVanrumste, Bart
dc.date.accessioned2022-04-27T07:21:25Z
dc.date.available2022-04-22T02:11:02Z
dc.date.available2022-04-27T07:21:25Z
dc.date.issued2021
dc.identifier.doi10.1109/EMBC46164.2021.9630505
dc.identifier.eisbn978-1-7281-1179-7
dc.identifier.issn1557-170X
dc.identifier.pmidMEDLINE:34891718
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/39658
dc.publisherIEEE
dc.source.beginpage2170
dc.source.conference43rd Annual International Conference of the IEEE-Engineering-in-Medicine-and-Biology-Society (IEEE EMBC)
dc.source.conferencedateNOV 01-05, 2021
dc.source.conferencelocationVirtual
dc.source.endpage2174
dc.source.journalna
dc.source.numberofpages5
dc.subject.keywordsOUTCOMES
dc.title

Gestational weight gain prediction using privacy preserving federated learning

dc.typeProceedings paper
dspace.entity.typePublication
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