dc.contributor.author
Kraft, Magdalena
dc.contributor.author
Gebauer, Johannes
dc.contributor.author
Dölle‐Bierke, Sabine
dc.contributor.author
Worm, Margitta
dc.date.accessioned
2022-02-08T14:31:07Z
dc.date.available
2022-02-08T14:31:07Z
dc.identifier.uri
https://refubium.fu-berlin.de/handle/fub188/33941
dc.identifier.uri
http://dx.doi.org/10.17169/refubium-33660
dc.rights.uri
https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject
anaphylaxis severity
en
dc.subject
artificial intelligence
en
dc.subject
artificial neuronal network
en
dc.subject
machine learning
en
dc.subject.ddc
600 Technik, Medizin, angewandte Wissenschaften::610 Medizin und Gesundheit::610 Medizin und Gesundheit
dc.title
Usefulness of an artificial neural network to assess anaphylaxis severity
dc.type
Wissenschaftlicher Artikel
dcterms.bibliographicCitation.doi
10.1111/all.14560
dcterms.bibliographicCitation.journaltitle
Allergy
dcterms.bibliographicCitation.number
4
dcterms.bibliographicCitation.originalpublishername
Wiley
dcterms.bibliographicCitation.pagestart
1244
dcterms.bibliographicCitation.pageend
1246
dcterms.bibliographicCitation.volume
76
refubium.affiliation
Charité - Universitätsmedizin Berlin
refubium.funding
DEAL Wiley
refubium.resourceType.isindependentpub
no
dcterms.accessRights.openaire
open access
dcterms.bibliographicCitation.pmid
32789872
dcterms.isPartOf.issn
0105-4538
dcterms.isPartOf.eissn
1398-9995
