Sex-Specific Patterns of Mortality Predictors Among Patients Undergoing Cardiac Resynchronization Therapy: A Machine Learning Approach

Background: The relative importance of variables explaining sex-related differences in outcomes is scarcely explored in patients undergoing cardiac resynchronization therapy (CRT). We sought to implement and evaluate machine learning (ML) algorithms for the prediction of 1- and 3-year all-cause mort...

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Detalles Bibliográficos
Autores principales: Tokodi, Márton, Behon, Anett, Merkel, Eperke Dóra, Kovács, Attila, Tősér, Zoltán, Sárkány, András, Csákvári, Máté, Lakatos, Bálint Károly, Schwertner, Walter Richard, Kosztin, Annamária, Merkely, Béla
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Cardiovascular Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7947699/
https://www.ncbi.nlm.nih.gov/pubmed/33718444
http://dx.doi.org/10.3389/fcvm.2021.611055

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7947699/
https://www.ncbi.nlm.nih.gov/pubmed/33718444
http://dx.doi.org/10.3389/fcvm.2021.611055

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