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...

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Detalles Bibliográficos
Autores principales: Haque, Anamul, Stubbs, Doug, Hubig, Nina C., Spinale, Francis G., Richardson, William J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9620606/
https://www.ncbi.nlm.nih.gov/pubmed/36316772
http://dx.doi.org/10.1186/s12911-022-02015-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9620606/
https://www.ncbi.nlm.nih.gov/pubmed/36316772
http://dx.doi.org/10.1186/s12911-022-02015-0

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