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Machine learning-based risk model using (123)I-metaiodobenzylguanidine to differentially predict modes of cardiac death in heart failure
BACKGROUND: Cardiac sympathetic dysfunction is closely associated with cardiac mortality in patients with chronic heart failure (CHF). We analyzed the ability of machine learning incorporating (123)I-metaiodobenzylguanidine (MIBG) to differentially predict risk of life-threatening arrhythmic events...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer International Publishing
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8873155/ https://www.ncbi.nlm.nih.gov/pubmed/32410060 http://dx.doi.org/10.1007/s12350-020-02173-6 |