Which risk factor best predicts coronary artery disease using artificial neural network method?

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

Erschienen in
Which risk factor best predicts coronary artery disease using artificial neural network method? ; volume:24 ; number:1 ; day:14 ; month:2 ; year:2024 ; pages:1-12 ; date:12.2024
BMC medical informatics and decision making ; 24, Heft 1 (14.2.2024), 1-12, 12.2024

Urheber
Azdaki, Nahid
Salmani, Fatemeh
Kazemi, Toba
Partovi, Neda
Bizhaem, Saeede Khosravi
Moghadam, Masomeh Noori
Moniri, Yoones
Zarepur, Ehsan
Mohammadifard, Noushin
Alikhasi, Hassan
Nouri, Fatemeh
Sarrafzadegan, Nizal
Moezi, Seyyed Ali
Khazdair, Mohammad Reza
Beteiligte Personen und Organisationen
SpringerLink (Online service)

DOI
10.1186/s12911-024-02442-1
URN
urn:nbn:de:101:1-2405150826270.853102536619
Rechteinformation
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
Letzte Aktualisierung
14.08.2025, 10:53 MESZ

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Beteiligte

  • Azdaki, Nahid
  • Salmani, Fatemeh
  • Kazemi, Toba
  • Partovi, Neda
  • Bizhaem, Saeede Khosravi
  • Moghadam, Masomeh Noori
  • Moniri, Yoones
  • Zarepur, Ehsan
  • Mohammadifard, Noushin
  • Alikhasi, Hassan
  • Nouri, Fatemeh
  • Sarrafzadegan, Nizal
  • Moezi, Seyyed Ali
  • Khazdair, Mohammad Reza
  • SpringerLink (Online service)

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