Machine Learning for Prediction of Adverse Cardiovascular Events in Adults With Repaired Tetralogy of Fallot Using Clinical and Cardiovascular Magnetic Resonance Imaging Variables

Existing models for prediction of major adverse cardiovascular events (MACE) after repair of tetralogy of Fallot have been limited by modest predictive capacity and limited applicability to routine clinical practice. We hypothesized that an artificial intelligence model using an array of parameters...

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Detalles Bibliográficos
Autores principales: Ishikita, Ayako, McIntosh, Chris, Hanneman, Kate, Lee, Myunghyun M., Liang, Tiffany, Karur, Gauri R., Roche, S. Lucy, Hickey, Edward, Geva, Tal, Barron, David J., Wald, Rachel M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2023
Materias:
Original Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10281184/
https://www.ncbi.nlm.nih.gov/pubmed/37339175
http://dx.doi.org/10.1161/CIRCIMAGING.122.015205

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10281184/
https://www.ncbi.nlm.nih.gov/pubmed/37339175
http://dx.doi.org/10.1161/CIRCIMAGING.122.015205

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