Unsupervised anomaly detection of implausible electronic health records: a real-world evaluation in cancer registries
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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Online-Ressource, 1 online resource.
- Sprache
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Englisch
- Erschienen in
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Unsupervised anomaly detection of implausible electronic health records: a real-world evaluation in cancer registries ; volume:23 ; number:1 ; day:24 ; month:5 ; year:2023 ; pages:1-14 ; date:12.2023
BMC medical research methodology ; 23, Heft 1 (24.5.2023), 1-14, 12.2023
- Urheber
- Beteiligte Personen und Organisationen
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SpringerLink (Online service)
- DOI
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10.1186/s12874-023-01946-0
- URN
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urn:nbn:de:101:1-2023091012343470881203
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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14.08.2025, 10:59 MESZ
Datenpartner
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Beteiligte
- Röchner, Philipp
- Rothlauf, Franz
- SpringerLink (Online service)
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