Identifying Risk Factors for Complicated Post-operative Course in Tetralogy of Fallot Using a Machine Learning Approach

Introduction: Tetralogy of Fallot (TOF) repair is associated with excellent operative survival. However, a subset of patients experiences post-operative complications, which can significantly alter the early and late post-operative course. We utilized a machine learning approach to identify risk fac...

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Detalles Bibliográficos
Autores principales: Faerber, Jennifer A., Huang, Jing, Zhang, Xuemei, Song, Lihai, DeCost, Grace, Mascio, Christopher E., Ravishankar, Chitra, O'Byrne, Michael L., Naim, Maryam Y., Kawut, Steven M., Goldmuntz, Elizabeth, Mercer-Rosa, Laura
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/PMC8339319/
https://www.ncbi.nlm.nih.gov/pubmed/34368247
http://dx.doi.org/10.3389/fcvm.2021.685855

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8339319/
https://www.ncbi.nlm.nih.gov/pubmed/34368247
http://dx.doi.org/10.3389/fcvm.2021.685855

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