dc.contributor.author | Storås, Andrea | |
dc.contributor.author | Åsberg, Anders | |
dc.contributor.author | Halvorsen, Pål | |
dc.contributor.author | Riegler, Michael Alexander | |
dc.contributor.author | Strumke, Inga | |
dc.date.accessioned | 2023-03-07T11:54:58Z | |
dc.date.available | 2023-03-07T11:54:58Z | |
dc.date.created | 2022-12-16T10:54:06Z | |
dc.date.issued | 2022 | |
dc.identifier.isbn | 978-1-6654-6770-4 | |
dc.identifier.uri | https://hdl.handle.net/11250/3056418 | |
dc.language.iso | eng | en_US |
dc.publisher | IEEE | en_US |
dc.relation.ispartof | 2022 IEEE 35th International Symposium on Computer-Based Medical Systems (CBMS) | |
dc.title | Predicting Tacrolimus Exposure in Kidney Transplanted Patients Using Machine Learning | en_US |
dc.title.alternative | Predicting Tacrolimus Exposure in Kidney Transplanted Patients Using Machine Learning | en_US |
dc.type | Chapter | en_US |
dc.description.version | acceptedVersion | en_US |
dc.rights.holder | © 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works | en_US |
dc.source.pagenumber | 38-43 | en_US |
dc.identifier.doi | 10.1109/CBMS55023.2022.00014 | |
dc.identifier.cristin | 2094240 | |
cristin.ispublished | true | |
cristin.fulltext | original | |
cristin.qualitycode | 1 | |