Towards patient-specific prediction of conduction abnormalities induced by transcatheter aortic valve implantation: a combined mechanistic modelling and machine learning approach

AIMS: Post-procedure conduction abnormalities (CA) remain a common complication of transcatheter aortic valve implantation (TAVI), highlighting the need for personalized prediction models. We used machine learning (ML), integrating statistical and mechanistic modelling to provide a patient-specific...

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Detalles Bibliográficos
Autores principales: Galli, Valeria, Loncaric, Filip, Rocatello, Giorgia, Astudillo, Patricio, Sanchis, Laura, Regueiro, Ander, De Backer, Ole, Swaans, Martin, Bosmans, Johan, Ribeiro, Joana Maria, Lamata, Pablo, Sitges, Marta, de Jaegere, Peter, Mortier, Peter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Original Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9708019/
https://www.ncbi.nlm.nih.gov/pubmed/36713106
http://dx.doi.org/10.1093/ehjdh/ztab063

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9708019/
https://www.ncbi.nlm.nih.gov/pubmed/36713106
http://dx.doi.org/10.1093/ehjdh/ztab063

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