Interpretable machine learning model for early prediction of 28-day mortality in ICU patients with sepsis-induced coagulopathy: development and validation
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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1 Online-Ressource.
- Language
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Englisch
- Bibliographic citation
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Interpretable machine learning model for early prediction of 28-day mortality in ICU patients with sepsis-induced coagulopathy: development and validation ; volume:29 ; number:1 ; day:3 ; month:1 ; year:2024 ; pages:1-14 ; date:12.2024
European journal of medical research ; 29, Heft 1 (3.1.2024), 1-14, 12.2024
- Creator
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Zhou, Shu
Lu, Zongqing
Liu, Yu
Wang, Minjie
Zhou, Wuming
Cui, Xuanxuan
Zhang, Jin
Xiao, Wenyan
Hua, Tianfeng
Zhu, Huaqing
Yang, Min
- Contributor
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SpringerLink (Online service)
- DOI
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10.1186/s40001-023-01593-7
- URN
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urn:nbn:de:101:1-2024031813514131477823
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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14.08.2025, 10:57 AM CEST
Data provider
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Associated
- Zhou, Shu
- Lu, Zongqing
- Liu, Yu
- Wang, Minjie
- Zhou, Wuming
- Cui, Xuanxuan
- Zhang, Jin
- Xiao, Wenyan
- Hua, Tianfeng
- Zhu, Huaqing
- Yang, Min
- SpringerLink (Online service)
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