dc.contributor.author
Türk, Murat
dc.contributor.author
Ertaş, Ragıp
dc.contributor.author
Zeydan, Engin
dc.contributor.author
Türk, Yekta
dc.contributor.author
Atasoy, Mustafa
dc.contributor.author
Gutsche, Annika
dc.contributor.author
Maurer, Marcus
dc.date.accessioned
2022-11-21T14:26:57Z
dc.date.available
2022-11-21T14:26:57Z
dc.identifier.uri
https://refubium.fu-berlin.de/handle/fub188/36970
dc.identifier.uri
http://dx.doi.org/10.17169/refubium-36683
dc.rights.uri
https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject
chronic urticarial
en
dc.subject
cluster analysis
en
dc.subject
machine learning
en
dc.subject.ddc
600 Technik, Medizin, angewandte Wissenschaften::610 Medizin und Gesundheit::610 Medizin und Gesundheit
dc.title
Identification of chronic urticaria subtypes using machine learning algorithms
dc.type
Wissenschaftlicher Artikel
dcterms.bibliographicCitation.doi
10.1111/all.15119
dcterms.bibliographicCitation.journaltitle
Allergy
dcterms.bibliographicCitation.number
1
dcterms.bibliographicCitation.originalpublishername
Wiley
dcterms.bibliographicCitation.pagestart
323
dcterms.bibliographicCitation.pageend
326
dcterms.bibliographicCitation.volume
77
refubium.affiliation
Charité - Universitätsmedizin Berlin
refubium.funding
DEAL Wiley
refubium.resourceType.isindependentpub
no
dcterms.accessRights.openaire
open access
dcterms.bibliographicCitation.pmid
34606643
dcterms.isPartOf.issn
0105-4538
dcterms.isPartOf.eissn
1398-9995
