Artificial intelligence assessment for early detection and prediction of renal impairment using electrocardiography
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1573-2584
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
Artificial intelligence assessment for early detection and prediction of renal impairment using electrocardiography ; day:11 ; month:4 ; year:2022 ; pages:1-12
International urology and nephrology ; (11.4.2022), 1-12
- Urheber
-
Kwon, Joon-myoung
Kim, Kyung-Hee
Jo, Yong-Yeon
Jung, Min-Seung
Cho, Yong-Hyeon
Shin, Jae-Hyun
Lee, Yoon-Ji
Ban, Jang-Hyeon
Lee, Soo Youn
Park, Jinsik
Oh, Byung-Hee
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1007/s11255-022-03165-w
- URN
-
urn:nbn:de:101:1-2022062620340526978285
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:28 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
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Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Kwon, Joon-myoung
- Kim, Kyung-Hee
- Jo, Yong-Yeon
- Jung, Min-Seung
- Cho, Yong-Hyeon
- Shin, Jae-Hyun
- Lee, Yoon-Ji
- Ban, Jang-Hyeon
- Lee, Soo Youn
- Park, Jinsik
- Oh, Byung-Hee
- SpringerLink (Online service)
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