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

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, nation-wide...

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Detalles Bibliográficos
Autores principales: Wallert, John, Tomasoni, Mattia, Madison, Guy, Held, Claes
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5499032/
https://www.ncbi.nlm.nih.gov/pubmed/28679442
http://dx.doi.org/10.1186/s12911-017-0500-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5499032/
https://www.ncbi.nlm.nih.gov/pubmed/28679442
http://dx.doi.org/10.1186/s12911-017-0500-y

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