Unsupervised anomaly detection of implausible electronic health records: a real-world evaluation in cancer registries

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Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: Online-Ressource, 1 online resource.

Language: Englisch

Bibliographic citation: 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

Creator: Röchner, Philipp
Rothlauf, Franz

Contributor: SpringerLink (Online service)

DOI: 10.1186/s12874-023-01946-0

URN: urn:nbn:de:101:1-2023091012343470881203

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 14.08.2025, 10:59 AM CEST

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Röchner, Philipp
Rothlauf, Franz
SpringerLink (Online service)

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Unsupervised anomaly detection of implausible electronic health records: a real-world evaluation in cancer registries

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Other Objects (12)

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