Prior electrocardiograms not useful for machine learning predictions of major adverse cardiac events in emergency department chest pain patients

Author:

Nyström Axel,Olsson de Capretz Pontus,Björkelund Anders,Lundager Forberg Jakob,Ohlsson Mattias,Björk Jonas,Ekelund Ulf

Funder

Lunds Universitet

Hjärt-Lungfonden

American Institutes for Research

Vetenskapsrådet

Sweden's Innovation Agency

Publisher

Elsevier BV

Subject

Cardiology and Cardiovascular Medicine

Reference33 articles.

1. European society of cardiology: Cardiovascular disease statistics 2021, European;Timmis;Heart Journal,2022

2. A 1-h combination algorithm allows fast rule-out and rule-in of major adverse cardiac events;Mokhtari;J Am Coll Cardiol,2016

3. Safety and efficiency of emergency department assessment of chest discomfort;Christenson;CMAJ,2004

4. Application of the timi risk score for unstable angina and non-st elevation acute coronary syndrome to an unselected emergency department chest pain population;Pollack;Acad Emerg Med,2006

5. Cost and outcomes of assessing patients with chest pain in an australian emergency department;Cullen;Medical Journal of Australia,2015

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