AI-enabled ECG index for predicting left ventricular dysfunction in patients with ST-segment elevation myocardial infarction

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Standort
Deutsche Nationalbibliothek Frankfurt am Main
Umfang
1 Online-Ressource.
Sprache
Englisch

Erschienen in
AI-enabled ECG index for predicting left ventricular dysfunction in patients with ST-segment elevation myocardial infarction ; volume:14 ; number:1 ; day:17 ; month:7 ; year:2024 ; pages:1-9 ; date:12.2024
Scientific reports ; 14, Heft 1 (17.7.2024), 1-9, 12.2024

Urheber
Jeon, Ki-Hyun
Lee, Hak Seung
Kang, Sora
Jang, Jong-Hwan
Jo, Yong-Yeon
Son, Jeong Min
Lee, Min Sung
Kwon, Joon-myoung
Kwun, Ju-Seung
Cho, Hyoung-Won
Kang, Si-Hyuck
Lee, Wonjae
Yoon, Chang-Hwan
Suh, Jung-Won
Youn, Tae-Jin
Chae, In-Ho
Beteiligte Personen und Organisationen
SpringerLink (Online service)

DOI
10.1038/s41598-024-67532-6
URN
urn:nbn:de:101:1-2410080923206.456194456114
Rechteinformation
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
Letzte Aktualisierung
15.08.2025, 07:21 MESZ

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Beteiligte

  • Jeon, Ki-Hyun
  • Lee, Hak Seung
  • Kang, Sora
  • Jang, Jong-Hwan
  • Jo, Yong-Yeon
  • Son, Jeong Min
  • Lee, Min Sung
  • Kwon, Joon-myoung
  • Kwun, Ju-Seung
  • Cho, Hyoung-Won
  • Kang, Si-Hyuck
  • Lee, Wonjae
  • Yoon, Chang-Hwan
  • Suh, Jung-Won
  • Youn, Tae-Jin
  • Chae, In-Ho
  • SpringerLink (Online service)

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