Predicting two-year survival versus non-survival after first myocardial infarction using machine learning and Swedish national register data

Predicting two-year survival versus non-survival after first myocardial infarction using machine learning and Swedish national register data

Abstract Background Machine learning algorithms hold potential for improved prediction of all-cause mortality in cardiovascular patients, yet have not previously been developed with high-quality population data. This study compared four popular machine learning algorithms trained on unselected, nati...

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Bibliographic Details
Main Authors: John Wallert, Mattia Tomasoni, Guy Madison, Claes Held
Format: Article
Language:English
Published: BMC 2017-07-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Cardiovascular disease
Classification
Coronary Artery Syndrome
Prognostic Modelling
Myocardial infarction
Registries
Online Access:http://link.springer.com/article/10.1186/s12911-017-0500-y

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