Machine learning to optimize use of natriuretic peptides in the diagnosis of acute heart failure

  • Doudesis, Dimitrios
  • Lee, Kuan Ken
  • Anwar, Mohamed
  • Singer, Adam J
  • Hollander, Judd E
  • Chenevier-Gobeaux, Camille
  • Claessens, Yann-Erick
  • Wussler, Desiree
  • Weil, Dominic
  • Kozhuharov, Nikola
  • Strebel, Ivo
  • Sabti, Zaid
  • deFilippi, Christopher
  • Seliger, Stephen
  • Mesquita, Evandro Tinoco
  • Wiemer, Jan C
  • Möckel, Martin
  • Coste, Joel
  • Jourdain, Patrick
  • Kimiaki, Komukai
  • Yoshimura, Michihiro
  • Ibrahim, Irwani
  • Ooi, Shirley Beng Suat
  • Kuan, Win Sen
  • Gegenhuber, Alfons
  • Mueller, Thomas
  • Hanon, Olivier
  • Vidal, Jean-Sébastien
  • Cameron, Peter
  • Lam, Louisa
  • Freedman, Ben
  • Chung, Tommy
  • Collins, Sean P
  • Lindsell, Christopher J
  • Newby, David E
  • Japp, Alan G
  • Shah, Anoop S V
  • Villacorta, Humberto
  • Richards, A Mark
  • McMurray, John J V
  • Mueller, Christian
  • Januzzi, James L
  • Mills, Nicholas L
  • Moe, Gordon
  • Fernando, Carlos
  • Gaggin, Hanna K
  • Bayes-Genis, Antoni
  • van Kimmenade, Roland RJ
  • Pinto, Yigal
  • Rutten, Joost HW
  • van den Meiracker, Anton H
  • Gargani, Luna
  • Pugliese, Nicola R
  • Pemberton, Christopher
  • Neumaier, Michael
  • Behnes, Michael
  • Akin, Ibrahim
  • Bombelli, Michele
  • Grassi, Guido
  • Nazerian, Peiman
  • Albano, Giovanni
  • Bahrmann, Philipp
European Heart Journal: Acute Cardiovascular Care 14(8):p 474-488, August 2025. | DOI: 10.1093/ehjacc/zuaf051
Copyright © Copyright Oxford University Press 2025.
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