Machine learning can predict survival of patients with heart failure from serum creatinine and ejection fraction alone

BACKGROUND: Cardiovascular diseases kill approximately 17 million people globally every year, and they mainly exhibit as myocardial infarctions and heart failures. Heart failure (HF) occurs when the heart cannot pump enough blood to meet the needs of the body.Available electronic medical records of...

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Detalles Bibliográficos
Autores principales: Chicco, Davide, Jurman, Giuseppe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6998201/
https://www.ncbi.nlm.nih.gov/pubmed/32013925
http://dx.doi.org/10.1186/s12911-020-1023-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6998201/
https://www.ncbi.nlm.nih.gov/pubmed/32013925
http://dx.doi.org/10.1186/s12911-020-1023-5

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