- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1472-6947
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
Mitigating urinary incontinence condition using machine learning ; volume:22 ; number:1 ; day:17 ; month:9 ; year:2022 ; pages:1-10 ; date:12.2022
BMC medical informatics and decision making ; 22, Heft 1 (17.9.2022), 1-10, 12.2022
- Urheber
-
Ali, Haneen
Ahmed, Abdulaziz
Olivos, Carlos
Khamis, Khaled
Liu, Jia
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1186/s12911-022-01987-3
- URN
-
urn:nbn:de:101:1-2022120521195644024912
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
- 15.08.2025, 07:31 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
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Beteiligte
- Ali, Haneen
- Ahmed, Abdulaziz
- Olivos, Carlos
- Khamis, Khaled
- Liu, Jia
- SpringerLink (Online service)
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