A Machine Learning Model for the Accurate Prediction of 1-Year Survival in TAVI Patients: A Retrospective Observational Cohort Study

Background: predicting the 1-year survival of patients undergoing transcatheter aortic valve implantation (TAVI) is indispensable for managing safe early discharge strategies and resource optimization. Methods: Routinely acquired data (134 variables) were used from 629 patients, who underwent transf...

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Detalles Bibliográficos
Autores principales: Pollari, Francesco, Hitzl, Wolfgang, Rottmann, Magnus, Vogt, Ferdinand, Ledwon, Miroslaw, Langhammer, Christian, Eckner, Dennis, Jessl, Jürgen, Bertsch, Thomas, Pauschinger, Matthias, Fischlein, Theodor
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10488486/
https://www.ncbi.nlm.nih.gov/pubmed/37685547
http://dx.doi.org/10.3390/jcm12175481

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10488486/
https://www.ncbi.nlm.nih.gov/pubmed/37685547
http://dx.doi.org/10.3390/jcm12175481

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