Comparing machine learning and regression models for mortality prediction based on the Hungarian Myocardial Infarction Registry

Author:

Piros Péter,Ferenci Tamás,Fleiner Rita,Andréka Péter,Fujita Hamido,Főző László,Kovács Levente,Jánosi András

Funder

EFOP

European Union

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference36 articles.

1. American Heart Association; American Stroke Association. Heart Disease and Stroke Statistics—2017 Update. Available at: http://circ.ahajournals.org/content/early/2017/01/25/CIR.0000000000000485 (Accessed 10 January 2018).

2. Incidence of myocardial infarction in Hungary. Population study in five districts of Budapest and Szabolcs–Szatmar–Bereg county;Jánosi;Orv. Hetil.,2013

3. An overview of myocardial infarction registries and results from the Hungarian Myocardial Infarction Registry;Piros,2017

4. Does gender have prognostic value among patients with myocardial infarction? Analysis of the data from the Hungarian Myocardial Infarction Registry;Jánosi;J. Women Health,2018

5. Patient care of patients with myocardial infarction in Hungary. Analysis of National Myocardial Infarction Registry data collecting in 2015;Jánosi;Orv. Hetil.,2017

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