Improved cardiovascular risk prediction in patients with end-stage renal disease on hemodialysis using machine learning modeling and circulating microribonucleic acids

Rationale: To test whether novel biomarkers, such as microribonucleic acids (miRNAs), and nonstandard predictive models, such as decision tree learning, provide useful information for medical decision-making in patients on hemodialysis (HD). Methods: Samples from patients with end-stage renal diseas...

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Detalles Bibliográficos
Autores principales: de Gonzalo-Calvo, David, Martínez-Camblor, Pablo, Bär, Christian, Duarte, Kevin, Girerd, Nicolas, Fellström, Bengt, Schmieder, Roland E., Jardine, Alan G., Massy, Ziad A., Holdaas, Hallvard, Rossignol, Patrick, Zannad, Faiez, Thum, Thomas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Ivyspring International Publisher 2020
Materias:
Research Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7392028/
https://www.ncbi.nlm.nih.gov/pubmed/32754270
http://dx.doi.org/10.7150/thno.46123

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7392028/
https://www.ncbi.nlm.nih.gov/pubmed/32754270
http://dx.doi.org/10.7150/thno.46123

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