Predicting Tacrolimus Exposure in Kidney Transplanted Patients Using Machine Learning

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