Predicting coronary artery disease: a comparison between two data mining algorithms

BACKGROUND: Cardiovascular diseases (CADs) are the first leading cause of death across the world. World Health Organization has estimated that morality rate caused by heart diseases will mount to 23 million cases by 2030. Hence, the use of data mining algorithms could be useful in predicting coronar...

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Detalles Bibliográficos
Autores principales: Ayatollahi, Haleh, Gholamhosseini, Leila, Salehi, Masoud
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6489351/
https://www.ncbi.nlm.nih.gov/pubmed/31035958
http://dx.doi.org/10.1186/s12889-019-6721-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6489351/
https://www.ncbi.nlm.nih.gov/pubmed/31035958
http://dx.doi.org/10.1186/s12889-019-6721-5

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