Machine learning approach for the prediction of 30-day mortality in patients with sepsis-associated encephalopathy
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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1471-2288
- Extent
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Online-Ressource
- Language
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Englisch
- Notes
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online resource.
- Bibliographic citation
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Machine learning approach for the prediction of 30-day mortality in patients with sepsis-associated encephalopathy ; volume:22 ; number:1 ; day:4 ; month:7 ; year:2022 ; pages:1-12 ; date:12.2022
BMC medical research methodology ; 22, Heft 1 (4.7.2022), 1-12, 12.2022
- Creator
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Peng, Liwei
Peng, Chi
Yang, Fan
Wang, Jian
Zuo, Wei
Cheng, Chao
Mao, Zilong
Jin, Zhichao
Li, Weixin
- Contributor
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SpringerLink (Online service)
- DOI
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10.1186/s12874-022-01664-z
- URN
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urn:nbn:de:101:1-2022082320223359693934
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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15.08.2025, 7:25 AM CEST
Data provider
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Associated
- Peng, Liwei
- Peng, Chi
- Yang, Fan
- Wang, Jian
- Zuo, Wei
- Cheng, Chao
- Mao, Zilong
- Jin, Zhichao
- Li, Weixin
- SpringerLink (Online service)
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