Using ensemble of ensemble machine learning methods to predict outcomes of cardiac resynchronization.
Introduction: The efficacy of cardiac resynchronization therapy (CRT) has been widely studied in the medical literature; however, about 30% of candidates fail to respond to this treatment strategy. Smart computational approaches based on clinical data can help expose hidden patterns useful for ident...
| Publicado en: | Journal of Cardiovascular Electrophysiology Vol. 32; no. 9; pp. 2504 - 2515 |
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| Autores principales: | , , , , , , , , , , |
| Formato: | pictorial research tables/charts Journal Article |
| Publicado: |
Wiley-Blackwell
Sep2021
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| Acceso en línea: | Ver este registro en EBSCOhost |