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

Authors

Institutions

Publication Details

Journal
European Heart Journal Acute Cardiovascular Care
Published
2025-04-12
DOI
https://doi.org/10.1093/ehjacc/zuaf051
Citations
2
Primary Topic
Artificial Intelligence in Healthcare
Type
article
Field-Weighted Citation Impact
5.88

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Martin Möckel, Mohamed Anwar, Ben Freedman, Christopher John Lindsell et al.
2 citations
European Heart Journal Acute Cardiovascular Care
Artificial Intelligence in Healthcare
5.88
article

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

Martin Möckel, Mohamed Anwar, Ben Freedman, Christopher John Lindsell, Adam J. Singer, Dimitrios Doudesis, Olivier Hanon, Peter Cameron, Alfons Gegenhuber, J. Wiemer, Ivo Strebel, Patrick Jourdain, Evandro Tinoco Mesquita, John J.V. McMurray, Thomas Mueller, Mark Richards, Nicholas L. Mills, Kimiaki Komukai, Alan G. Japp, Louisa Lam, Nikola Kozhuharov, James Louis Januzzi, Humberto Villacorta, Jean‐Sébastien Vidal, Shirley Beng Suat Ooi, Sean P. Collins, Desiree Nadine Wussler, Camille Chenevier‐Gobeaux, Christopher R. deFilippi, Judd E. Hollander, Win Sen Kuan, Anoop Shah, David E. Newby, Kuan Ken Lee, Stephen L. Seliger, Irwani Ibrahim, Michihiro Yoshimura, Dominic Weil, Jöel Coste, Tommy Chung, Yann-Érick Claessens, Zaid Sabti, Christian Mueller
article en
2 citations

Abstract

No abstract available for this paper.
European Heart Journal Acute Cardiovascular CareVol. 14(8)
University of Maryland, Baltimore (US), The University of Sydney (AU), Harvard University (US), University of Liverpool (GB), Thomas Jefferson University (US), Universidade Federal Fluminense (BR), Duke University (US), University of Basel (CH), Université Paris-Saclay (FR), Concord Repatriation General Hospital (AU), Princess Grace Hospital Centre (MC), The Heart Research Institute (AU), University Hospital of Basel (CH), Cardiovascular Institute Hospital (JP), British Heart Foundation (GB), Liverpool Heart and Chest Hospital (GB), Stony Brook School (US), Massachusetts General Hospital (US), London School of Hygiene & Tropical Medicine (GB), Hôpital Cochin (FR), Hospital Base (CL), Assistance Publique – Hôpitaux de Paris (FR), VA Tennessee Valley Healthcare System (US), Hôpital Broca (FR), National University Heart Centre Singapore (SG), Geriatric Research Education and Clinical Center (US), Baim Institute for Clinical Research (US), Monash Health (AU), Jikei University Kashiwa hospital (JP), National University Hospital (SG), Christ University (IN), Monash University (AU), Stony Brook University (US), Thermo Fisher Scientific (Israel) (IL), Charité - Universitätsmedizin Berlin (DE), University of Glasgow (GB), University of Otago (NZ), Australian Catholic University (AU), Vanderbilt University Medical Center (US), University of Edinburgh (GB)
British Heart Foundation
Peace, Justice and strong institutions
Openalex Percentile: Top 5%
Artificial Intelligence in Healthcare
5.88
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.