Generating high-fidelity synthetic patient data for assessing machine learning healthcare software
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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2398-6352
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Anmerkungen
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online resource.
- Erschienen in
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Generating high-fidelity synthetic patient data for assessing machine learning healthcare software ; volume:3 ; number:1 ; day:9 ; month:11 ; year:2020 ; pages:1-13 ; date:12.2020
npj digital medicine ; 3, Heft 1 (9.11.2020), 1-13, 12.2020
- Urheber
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Tucker, Allan
Wang, Zhenchen
Rotalinti, Ylenia
Myles, Puja
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
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10.1038/s41746-020-00353-9
- URN
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urn:nbn:de:101:1-2020121618353943206136
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:23 MESZ
Datenpartner
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Beteiligte
- Tucker, Allan
- Wang, Zhenchen
- Rotalinti, Ylenia
- Myles, Puja
- SpringerLink (Online service)
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