Machine learning predicts long-term mortality after acute myocardial infarction using systolic time intervals and routinely collected clinical data

Author:

Roudini Bijan,Khajehpiri Boshra,Moghaddam Hamid Abrishami,Forouzanfar MohamadORCID

Publisher

Elsevier BV

Reference50 articles.

1. World Health Organization. Cardiovascular diseases (CVDs). 2021. Available from: https://www.who.int/news-room/fact-sheets/detail/cardiovascular-diseases-(cvds) (Accessed on 9 October 2022).

2. Table 13-10-0394-01 Leading causes of death, total population, by age group. 2021. Available from: https://www150.statcan.gc.ca/t1/tbl1/en/tv.action?pid=1310039401.

3. Report from the Canadian Chronic Disease Surveillance System: Heart Disease in Canada, 2018. Available from: https://www.canada.ca/en/public-health/services/publications/diseases-conditions/report-heart-disease-Canada-2018.html.

4. Cardiovascular risk in post-myocardial infarction patients: Nationwide real world data demonstrate the importance of a long-term perspective;Jernberg;Eur Heart J,2015

5. Smart wearable devices in cardiovascular care: Where we are and how to move forward;Bayoumy;Nat Rev Cardiol,2021

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