Interpretable machine learning predicts cardiac resynchronization therapy responses from personalized biochemical and biomechanical features.
Background: Cardiac Resynchronization Therapy (CRT) is a widely used, device-based therapy for patients with left ventricle (LV) failure. Unfortunately, many patients do not benefit from CRT, so there is potential value in identifying this group of non-responders before CRT implementation. Past stud...
| Publicado en: | BMC Medical Informatics & Decision Making Vol. 22; no. 1; pp. 1 - 11 |
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| Autores principales: | , , , , |
| Formato: | Journal Article |
| Publicado: |
BioMed Central
10/31/2022
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| Acceso en línea: | Ver este registro en EBSCOhost |