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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.issn1557-170X
dc.identifier.otherWOS:000760910502046
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/39658.2
dc.sourceWOS
dc.titleGestational weight gain prediction using privacy preserving federated learning
dc.typeProceedings paper
dc.identifier.doi10.1109/EMBC46164.2021.9630505
dc.identifier.eisbn978-1-7281-1179-7
dc.source.numberofpages5
dc.source.peerreviewyes
dc.source.beginpage2170
dc.source.endpage2174
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.journalna
dc.identifier.pmidMEDLINE:34891718
imec.availabilityPublished - imec


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220.500.12860/39658.2*2022-04-27T07:19:21Zvalidation by library/open access desk
120.500.12860/396582022-04-22T02:11:02Z

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