Predicting future hospital antimicrobial resistance prevalence using machine learning
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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1 Online-Ressource.
- Sprache
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Englisch
- Erschienen in
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Predicting future hospital antimicrobial resistance prevalence using machine learning ; volume:4 ; number:1 ; day:10 ; month:10 ; year:2024 ; pages:1-14 ; date:12.2024
Communications medicine ; 4, Heft 1 (10.10.2024), 1-14, 12.2024
- Urheber
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Vihta, Karina-Doris
Pritchard, Emma
Pouwels, Koen B.
Hopkins, Susan
Guy, Rebecca L.
Henderson, Katherine
Chudasama, Dimple
Hope, Russell
Muller-Pebody, Berit
Walker, Ann Sarah
Clifton, David
Eyre, David W.
- Beteiligte Personen und Organisationen
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SpringerLink (Online service)
- DOI
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10.1038/s43856-024-00606-8
- URN
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urn:nbn:de:101:1-2412272109471.103544655972
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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15.08.2025, 07:35 MESZ
Datenpartner
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Beteiligte
- Vihta, Karina-Doris
- Pritchard, Emma
- Pouwels, Koen B.
- Hopkins, Susan
- Guy, Rebecca L.
- Henderson, Katherine
- Chudasama, Dimple
- Hope, Russell
- Muller-Pebody, Berit
- Walker, Ann Sarah
- Clifton, David
- Eyre, David W.
- SpringerLink (Online service)
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