Predicting postoperative surgical site infection with administrative data: a random forests algorithm
- 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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Predicting postoperative surgical site infection with administrative data: a random forests algorithm ; volume:21 ; number:1 ; day:28 ; month:8 ; year:2021 ; pages:1-11 ; date:12.2021
BMC medical research methodology ; 21, Heft 1 (28.8.2021), 1-11, 12.2021
- Creator
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Petrosyan, Yelena
Thavorn, Kednapa
Smith, Glenys
Maclure, Malcolm
Preston, Roanne
Walravan, Carl van
Forster, Alan J.
- Contributor
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SpringerLink (Online service)
- DOI
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10.1186/s12874-021-01369-9
- URN
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urn:nbn:de:101:1-2021111307140552047458
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
15.08.2025, 7:36 AM CEST
Data provider
This object is provided by:
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Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Petrosyan, Yelena
- Thavorn, Kednapa
- Smith, Glenys
- Maclure, Malcolm
- Preston, Roanne
- Walravan, Carl van
- Forster, Alan J.
- SpringerLink (Online service)
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