Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12188/31554
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dc.contributor.authorSazdov, Borjanen_US
dc.contributor.authorTashkovska, Mateaen_US
dc.contributor.authorKrsteski, Stefanen_US
dc.contributor.authorJovanovski, Borcheen_US
dc.contributor.authorKalabakov, Stefanen_US
dc.contributor.authorRakovic, Valentinen_US
dc.contributor.authorDenkovski, Danielen_US
dc.contributor.authorGjoreski, Hristijanen_US
dc.date.accessioned2024-10-08T13:28:22Z-
dc.date.available2024-10-08T13:28:22Z-
dc.date.issued2023-06-27-
dc.identifier.urihttp://hdl.handle.net/20.500.12188/31554-
dc.publisherIEEEen_US
dc.titlePrediction of Hospital Readmission using Federated Learningen_US
dc.relation.conference2023 30th International Conference on Systems, Signals and Image Processing (IWSSIP)en_US
dc.identifier.doi10.1109/iwssip58668.2023.10180282-
dc.identifier.urlhttp://xplorestaging.ieee.org/ielx7/10180201/10180228/10180282.pdf?arnumber=10180282-
item.fulltextNo Fulltext-
item.grantfulltextnone-
crisitem.author.deptFaculty of Electrical Engineering and Information Technologies-
Appears in Collections:Faculty of Electrical Engineering and Information Technologies: Conference Papers
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