Machine-learning facilitates selection of a novel diagnostic panel of metabolites for the detection of heart failure

The metabolic derangement is common in heart failure with reduced ejection fraction (HFrEF). The aim of the study was to check feasibility of the combined approach of untargeted metabolomics and machine learning to create a simple and potentially clinically useful diagnostic panel for HFrEF. The stu...

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Detalles Bibliográficos
Autores principales: Marcinkiewicz-Siemion, M., Kaminski, M., Ciborowski, M., Ptaszynska-Kopczynska, K., Szpakowicz, A., Lisowska, A., Jasiewicz, M., Tarasiuk, E., Kretowski, A., Sobkowicz, B., Kaminski, K. A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6954181/
https://www.ncbi.nlm.nih.gov/pubmed/31924803
http://dx.doi.org/10.1038/s41598-019-56889-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6954181/
https://www.ncbi.nlm.nih.gov/pubmed/31924803
http://dx.doi.org/10.1038/s41598-019-56889-8

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