On classifying sepsis heterogeneity in the ICU: insight using machine learning
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Erschienen in
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In: Journal of the American Medical Informatics Association, 27, 3, S. 437-443
- Ereignis
-
Veröffentlichung
- (wo)
-
Augsburg
- (wer)
-
Universität Augsburg
- (wann)
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2020
- Ereignis
-
Veröffentlichung
- (wer)
-
Oxford University Press (OUP)
- (wann)
-
2020
- Urheber
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Ibrahim, Zina M.
Wu, Honghan
Hamoud, Ahmed
Stappen, Lukas
Dobson, Richard J. B.
Agarossi, Andrea
- DOI
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10.1093/jamia/ocz211
- URN
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urn:nbn:de:bvb:384-opus4-773782
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 10:56 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
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Beteiligte
- Ibrahim, Zina M.
- Wu, Honghan
- Hamoud, Ahmed
- Stappen, Lukas
- Dobson, Richard J. B.
- Agarossi, Andrea
- Universität Augsburg
- Oxford University Press (OUP)
Entstanden
- 2020
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