Evaluating machine learning algorithms to Predict 30-day Unplanned REadmission (PURE) in Urology patients
- 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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Evaluating machine learning algorithms to Predict 30-day Unplanned REadmission (PURE) in Urology patients ; volume:23 ; number:1 ; day:13 ; month:6 ; year:2023 ; pages:1-13 ; date:12.2023
BMC medical informatics and decision making ; 23, Heft 1 (13.6.2023), 1-13, 12.2023
- Urheber
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Welvaars, Koen
den Bekerom, Michel P. J. van
Doornberg, Job N.
Haarst, Ernst P. van
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
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10.1186/s12911-023-02200-9
- URN
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urn:nbn:de:101:1-2023091916522570094563
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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14.08.2025, 10:54 MESZ
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Beteiligte
- Welvaars, Koen
- den Bekerom, Michel P. J. van
- Doornberg, Job N.
- Haarst, Ernst P. van
- SpringerLink (Online service)
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