Clinical decision support using machine learning and cardiac troponin for the diagnosis of myocardial infarction-Reference-Cited by-同舟云学术

Clinical decision support using machine learning and cardiac troponin for the diagnosis of myocardial infarction

Published:2024-07-19 Issue: Volume: Page:
ISSN:2048-8726
Container-title:European Heart Journal: Acute Cardiovascular Care
language:en
Short-container-title:

Author:

Than Martin P¹,Pickering John W¹²,Mair Johannes³^ORCID,Mills Nicholas L⁴⁵, ,Lindahl Bertil,Boeddinghaus Jasper,Cullen Louise,Daniels Lori,Hammarsten Ola,Huber Kurt,Giannitsis Evangelos,Jaffe Allan S,Kimenai Dorien M,Krychtiuk Konstantin A,Möckel Martin,Mueller Christian,Thielmann Matthias,Thygesen Kristian,Mair Johannes,Mills Nicholas L

Affiliation:

1. Emergency Department, Christchurch Hospital , Private Bag 4710, Christchurch 8140 , New Zealand

2. Christchurch Heart Institute, Department of Medicine, University of Otago , Christchurch , New Zealand

3. Department of Internal Medicine III—Cardiology and Angiology, Innsbruck Medical University , Innsbruck , Austria

4. BHF Centre for Cardiovascular Science, University of Edinburgh , Edinburgh , UK

5. Usher Institute, University of Edinburgh , Edinburgh , UK

Publisher

Oxford University Press (OUP)

Link

https://academic.oup.com/ehjacc/advance-article-pdf/doi/10.1093/ehjacc/zuae085/58654214/zuae085.pdf

Reference6 articles.

1. Machine learning to predict the likelihood of acute myocardial infarction;Than;Circulation,2019

2. Machine learning for diagnosis of myocardial infarction using cardiac troponin concentrations;Doudesis;Nat Med,2023

3. Machine learning for myocardial infarction compared with guideline-recommended diagnostic pathways;Boeddinghaus;Circulation,2024

4. Personalized diagnosis in suspected myocardial infarction;Neumann;Clin Res Cardiol,2023