Interpretable machine learning for in-hospital mortality risk prediction in patients with ST-elevation myocardial infarction after percutaneous coronary interventions

Author:

Shakhgeldyan Karina IosephovnaORCID,Kuksin Nikita SergeevichORCID,Domzhalov Igor Gennadievich,Rublev Vladislav YurievichORCID,Geltser Boris IzrajlevichORCID

Funder

Far Eastern Federal University

Ministry of Education and Science of the Russian Federation

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference38 articles.

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2. 2017 ESC Guidelines for the management of acute myocardial infarction in patients presenting with ST-segment elevation

3. 2017 ESC Guidelines for the management of acute myocardial infarction in patients presenting with ST-segment elevation

4. Global Registry of Acute Coronary Events (GRACE) hospital discharge risk score accurately predicts long-term mortality post acute coronary syndrome;Tang;Am. Heart J.,2007

5. Predictors of hospital mortality in the global registry of acute coronary events;Granger;Arch. Intern. Med.,2003

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