Machine Learning to Predict the Likelihood of Acute Myocardial Infarction
Martin Than(Christchurch Hospital), Francisco Ojeda(Universidad Complutense de Madrid), Raphael Twerenbold(German Centre for Cardiovascular Research), Stephen W. Smith, Janel Huang, Yader Sandoval(Minneapolis Heart Institute Foundation), Stefan Blankenberg(Universität Hamburg), Mark Richards(National University Health System), Nicholas L. Mills(University of Edinburgh), Agim Beshiri(Abbott Fund), Nils A. Sörensen(Universität Hamburg), Atul Anand(British Heart Foundation), Dirk Westermann(University Medical Center Freiburg), Shaoqing Du(Shandong University), Richard W. Troughton(Canterbury Health Laboratories), Thomas Nestelberger(Universität Hamburg), Louise Cullen(Royal Brisbane and Women's Hospital), John W. Pickering(Christchurch Hospital), Fred S. Apple(Hennepin County), Andrew R. Chapman(Edinburgh Royal Infirmary), Patrick Badertscher(Universität Hamburg), Anoop Shah(Imperial College Healthcare NHS Trust), Jasper Boeddinghaus(University of Basel), Karin Wildi, Athanasios Tsanas(Prince Philip Hospital), Jaimi Greenslade(Royal Brisbane and Women's Hospital), Peter M. George, Christian Mueller(Immutep (Germany)), Franz–Josef Neumann(Universitäts-Herzzentrum Freiburg-Bad Krozingen), Sally Aldous(Christchurch Hospital), William Parsonage(Queensland University of Technology)
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